--------------------------------------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/JTAFOYA1/My Drive/Research/Englishness_Americanness/CCES18_UTAustin_OUTPUTB.log
  log type:  text
 opened on:   2 Jun 2023, 23:22:03

. 
. *Replication Files for "Divid Images: How the English Percieve Nationhood and How This Shapes Voting and Opinion"
. *Eric Kaufmann, Birkbeck College, University of London, UK 
. *David L. Leal, University of Texas at Austin, USA 
. *Joe R. Tafoya, DePaul University, Chicago, USA 
. 
. *Part 2 of 2, focused on the US
. 
. *Author of this code: Joe R. Tafoya, PhD (j.tafoya@depaul.edu)
. 
. *Platform: STATA
. 
. 
. use "/Users/JTAFOYA1/My Drive/Research/Englishness_Americanness/Graph and Program Files/CCES18_UTAustin_OUTPUTB.dta", clear
(Written by R.              )

. 
. set more off

. 
. svyset[pweight=teamweight]

Sampling weights: teamweight
             VCE: linearized
     Single unit: missing
        Strata 1: <one>
 Sampling unit 1: <observations>
           FPC 1: <zero>

. 
end of do-file

. do "/var/folders/gb/wjczt4kn3sd6vy4y14s1c74c0000gp/T//SD32101.000000"

. 
. svyset[pweight=teamweight]

Sampling weights: teamweight
             VCE: linearized
     Single unit: missing
        Strata 1: <one>
 Sampling unit 1: <observations>
           FPC 1: <zero>

. 
. /*Question Prompt: A foreign tourist wrote up this list of 
> things that struck him as typically American. For each one, don't tell us 
> whether you like it or not, but instead tell us how American it makes you feel,
> from 0 (not at all) to 100 (very much).
> */
. {
. *Cowboys
. tab UTB334_1

   UTB334.1 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        153       15.95       15.95
          1 |         17        1.77       17.73
          2 |          8        0.83       18.56
          3 |          4        0.42       18.98
          4 |          5        0.52       19.50
          5 |         46        4.80       24.30
          6 |          5        0.52       24.82
          7 |          7        0.73       25.55
          8 |          3        0.31       25.86
         10 |         67        6.99       32.85
         15 |          7        0.73       33.58
         16 |          1        0.10       33.68
         20 |         22        2.29       35.97
         22 |          1        0.10       36.08
         23 |          1        0.10       36.18
         25 |         20        2.09       38.27
         30 |         14        1.46       39.73
         35 |          3        0.31       40.04
         40 |         17        1.77       41.81
         44 |          1        0.10       41.92
         50 |        112       11.68       53.60
         60 |         35        3.65       57.25
         65 |          4        0.42       57.66
         67 |          1        0.10       57.77
         68 |          1        0.10       57.87
         69 |          1        0.10       57.98
         70 |         34        3.55       61.52
         73 |          1        0.10       61.63
         75 |         46        4.80       66.42
         76 |          2        0.21       66.63
         78 |          1        0.10       66.74
         79 |          1        0.10       66.84
         80 |         62        6.47       73.31
         85 |         11        1.15       74.45
         88 |          1        0.10       74.56
         90 |         36        3.75       78.31
         95 |          7        0.73       79.04
         99 |          8        0.83       79.87
        100 |        193       20.13      100.00
------------+-----------------------------------
      Total |        959      100.00
. tab UTB334_1, nolab

   UTB334.1 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        153       15.95       15.95
          2 |         17        1.77       17.73
          3 |          8        0.83       18.56
          4 |          4        0.42       18.98
          5 |          5        0.52       19.50
          6 |         46        4.80       24.30
          7 |          5        0.52       24.82
          8 |          7        0.73       25.55
          9 |          3        0.31       25.86
         10 |         67        6.99       32.85
         11 |          7        0.73       33.58
         12 |          1        0.10       33.68
         13 |         22        2.29       35.97
         14 |          1        0.10       36.08
         15 |          1        0.10       36.18
         16 |         20        2.09       38.27
         17 |         14        1.46       39.73
         18 |          3        0.31       40.04
         19 |         17        1.77       41.81
         20 |          1        0.10       41.92
         21 |        112       11.68       53.60
         22 |         35        3.65       57.25
         23 |          4        0.42       57.66
         24 |          1        0.10       57.77
         25 |          1        0.10       57.87
         26 |          1        0.10       57.98
         27 |         34        3.55       61.52
         28 |          1        0.10       61.63
         29 |         46        4.80       66.42
         30 |          2        0.21       66.63
         31 |          1        0.10       66.74
         32 |          1        0.10       66.84
         33 |         62        6.47       73.31
         34 |         11        1.15       74.45
         35 |          1        0.10       74.56
         36 |         36        3.75       78.31
         37 |          7        0.73       79.04
         38 |          8        0.83       79.87
         39 |        193       20.13      100.00
------------+-----------------------------------
      Total |        959      100.00
. decode UTB334_1, gen(cow)
. destring cow, gen(cowboys)
cow: all characters numeric; cowboys generated as byte
(41 missing values generated)
. *replace cowboys=cowboys/100
. tab cowboys

   UTB334.1 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        153       15.95       15.95
          1 |         17        1.77       17.73
          2 |          8        0.83       18.56
          3 |          4        0.42       18.98
          4 |          5        0.52       19.50
          5 |         46        4.80       24.30
          6 |          5        0.52       24.82
          7 |          7        0.73       25.55
          8 |          3        0.31       25.86
         10 |         67        6.99       32.85
         15 |          7        0.73       33.58
         16 |          1        0.10       33.68
         20 |         22        2.29       35.97
         22 |          1        0.10       36.08
         23 |          1        0.10       36.18
         25 |         20        2.09       38.27
         30 |         14        1.46       39.73
         35 |          3        0.31       40.04
         40 |         17        1.77       41.81
         44 |          1        0.10       41.92
         50 |        112       11.68       53.60
         60 |         35        3.65       57.25
         65 |          4        0.42       57.66
         67 |          1        0.10       57.77
         68 |          1        0.10       57.87
         69 |          1        0.10       57.98
         70 |         34        3.55       61.52
         73 |          1        0.10       61.63
         75 |         46        4.80       66.42
         76 |          2        0.21       66.63
         78 |          1        0.10       66.74
         79 |          1        0.10       66.84
         80 |         62        6.47       73.31
         85 |         11        1.15       74.45
         88 |          1        0.10       74.56
         90 |         36        3.75       78.31
         95 |          7        0.73       79.04
         99 |          8        0.83       79.87
        100 |        193       20.13      100.00
------------+-----------------------------------
      Total |        959      100.00
. sum cowboys

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     cowboys |        959    49.82169    38.72157          0        100
. 
. *American Countryside
. tab UTB334_2

   UTB334.2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         65        6.74        6.74
          1 |          9        0.93        7.68
          2 |          4        0.41        8.09
          3 |          3        0.31        8.40
          4 |          3        0.31        8.71
          5 |         19        1.97       10.68
          6 |          4        0.41       11.10
          7 |          9        0.93       12.03
          8 |          6        0.62       12.66
          9 |          3        0.31       12.97
         10 |         59        6.12       19.09
         15 |          5        0.52       19.61
         20 |         29        3.01       22.61
         23 |          1        0.10       22.72
         25 |         18        1.87       24.59
         30 |         10        1.04       25.62
         35 |          2        0.21       25.83
         37 |          1        0.10       25.93
         38 |          1        0.10       26.04
         40 |         18        1.87       27.90
         44 |          1        0.10       28.01
         45 |          2        0.21       28.22
         49 |          1        0.10       28.32
         50 |        102       10.58       38.90
         54 |          1        0.10       39.00
         55 |          3        0.31       39.32
         57 |          1        0.10       39.42
         60 |         51        5.29       44.71
         65 |          8        0.83       45.54
         67 |          1        0.10       45.64
         69 |          1        0.10       45.75
         70 |         26        2.70       48.44
         75 |         48        4.98       53.42
         76 |          1        0.10       53.53
         78 |          2        0.21       53.73
         80 |         60        6.22       59.96
         85 |         15        1.56       61.51
         88 |          2        0.21       61.72
         90 |         54        5.60       67.32
         95 |          9        0.93       68.26
         96 |          1        0.10       68.36
         98 |          1        0.10       68.46
         99 |          8        0.83       69.29
        100 |        296       30.71      100.00
------------+-----------------------------------
      Total |        964      100.00
. tab UTB334_2, nolab

   UTB334.2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         65        6.74        6.74
          2 |          9        0.93        7.68
          3 |          4        0.41        8.09
          4 |          3        0.31        8.40
          5 |          3        0.31        8.71
          6 |         19        1.97       10.68
          7 |          4        0.41       11.10
          8 |          9        0.93       12.03
          9 |          6        0.62       12.66
         10 |          3        0.31       12.97
         11 |         59        6.12       19.09
         12 |          5        0.52       19.61
         13 |         29        3.01       22.61
         14 |          1        0.10       22.72
         15 |         18        1.87       24.59
         16 |         10        1.04       25.62
         17 |          2        0.21       25.83
         18 |          1        0.10       25.93
         19 |          1        0.10       26.04
         20 |         18        1.87       27.90
         21 |          1        0.10       28.01
         22 |          2        0.21       28.22
         23 |          1        0.10       28.32
         24 |        102       10.58       38.90
         25 |          1        0.10       39.00
         26 |          3        0.31       39.32
         27 |          1        0.10       39.42
         28 |         51        5.29       44.71
         29 |          8        0.83       45.54
         30 |          1        0.10       45.64
         31 |          1        0.10       45.75
         32 |         26        2.70       48.44
         33 |         48        4.98       53.42
         34 |          1        0.10       53.53
         35 |          2        0.21       53.73
         36 |         60        6.22       59.96
         37 |         15        1.56       61.51
         38 |          2        0.21       61.72
         39 |         54        5.60       67.32
         40 |          9        0.93       68.26
         41 |          1        0.10       68.36
         42 |          1        0.10       68.46
         43 |          8        0.83       69.29
         44 |        296       30.71      100.00
------------+-----------------------------------
      Total |        964      100.00
. decode UTB334_2, gen(coun)
. destring coun, gen(country)
coun: all characters numeric; country generated as byte
(36 missing values generated)
. *replace country=country/100
. tab country

   UTB334.2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         65        6.74        6.74
          1 |          9        0.93        7.68
          2 |          4        0.41        8.09
          3 |          3        0.31        8.40
          4 |          3        0.31        8.71
          5 |         19        1.97       10.68
          6 |          4        0.41       11.10
          7 |          9        0.93       12.03
          8 |          6        0.62       12.66
          9 |          3        0.31       12.97
         10 |         59        6.12       19.09
         15 |          5        0.52       19.61
         20 |         29        3.01       22.61
         23 |          1        0.10       22.72
         25 |         18        1.87       24.59
         30 |         10        1.04       25.62
         35 |          2        0.21       25.83
         37 |          1        0.10       25.93
         38 |          1        0.10       26.04
         40 |         18        1.87       27.90
         44 |          1        0.10       28.01
         45 |          2        0.21       28.22
         49 |          1        0.10       28.32
         50 |        102       10.58       38.90
         54 |          1        0.10       39.00
         55 |          3        0.31       39.32
         57 |          1        0.10       39.42
         60 |         51        5.29       44.71
         65 |          8        0.83       45.54
         67 |          1        0.10       45.64
         69 |          1        0.10       45.75
         70 |         26        2.70       48.44
         75 |         48        4.98       53.42
         76 |          1        0.10       53.53
         78 |          2        0.21       53.73
         80 |         60        6.22       59.96
         85 |         15        1.56       61.51
         88 |          2        0.21       61.72
         90 |         54        5.60       67.32
         95 |          9        0.93       68.26
         96 |          1        0.10       68.36
         98 |          1        0.10       68.46
         99 |          8        0.83       69.29
        100 |        296       30.71      100.00
------------+-----------------------------------
      Total |        964      100.00
. 
. *Pickup Trucks
. tab UTB334_3

   UTB334.3 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        130       13.58       13.58
          1 |          7        0.73       14.32
          2 |         12        1.25       15.57
          3 |          3        0.31       15.88
          4 |          5        0.52       16.41
          5 |         41        4.28       20.69
          6 |          4        0.42       21.11
          7 |          3        0.31       21.42
          8 |         10        1.04       22.47
          9 |          6        0.63       23.09
         10 |         63        6.58       29.68
         12 |          2        0.21       29.89
         15 |          1        0.10       29.99
         19 |          1        0.10       30.09
         20 |         31        3.24       33.33
         25 |         30        3.13       36.47
         29 |          1        0.10       36.57
         30 |         26        2.72       39.29
         33 |          1        0.10       39.39
         35 |          8        0.84       40.23
         38 |          1        0.10       40.33
         40 |         17        1.78       42.11
         43 |          1        0.10       42.22
         45 |          1        0.10       42.32
         50 |        114       11.91       54.23
         53 |          1        0.10       54.34
         55 |          2        0.21       54.55
         58 |          1        0.10       54.65
         59 |          1        0.10       54.75
         60 |         39        4.08       58.83
         65 |          9        0.94       59.77
         66 |          1        0.10       59.87
         67 |          1        0.10       59.98
         70 |         34        3.55       63.53
         75 |         53        5.54       69.07
         77 |          1        0.10       69.17
         80 |         55        5.75       74.92
         85 |         12        1.25       76.18
         86 |          1        0.10       76.28
         88 |          2        0.21       76.49
         90 |         56        5.85       82.34
         95 |          7        0.73       83.07
         98 |          2        0.21       83.28
         99 |          9        0.94       84.22
        100 |        151       15.78      100.00
------------+-----------------------------------
      Total |        957      100.00
. tab UTB334_3, nolab

   UTB334.3 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        130       13.58       13.58
          2 |          7        0.73       14.32
          3 |         12        1.25       15.57
          4 |          3        0.31       15.88
          5 |          5        0.52       16.41
          6 |         41        4.28       20.69
          7 |          4        0.42       21.11
          8 |          3        0.31       21.42
          9 |         10        1.04       22.47
         10 |          6        0.63       23.09
         11 |         63        6.58       29.68
         12 |          2        0.21       29.89
         13 |          1        0.10       29.99
         14 |          1        0.10       30.09
         15 |         31        3.24       33.33
         16 |         30        3.13       36.47
         17 |          1        0.10       36.57
         18 |         26        2.72       39.29
         19 |          1        0.10       39.39
         20 |          8        0.84       40.23
         21 |          1        0.10       40.33
         22 |         17        1.78       42.11
         23 |          1        0.10       42.22
         24 |          1        0.10       42.32
         25 |        114       11.91       54.23
         26 |          1        0.10       54.34
         27 |          2        0.21       54.55
         28 |          1        0.10       54.65
         29 |          1        0.10       54.75
         30 |         39        4.08       58.83
         31 |          9        0.94       59.77
         32 |          1        0.10       59.87
         33 |          1        0.10       59.98
         34 |         34        3.55       63.53
         35 |         53        5.54       69.07
         36 |          1        0.10       69.17
         37 |         55        5.75       74.92
         38 |         12        1.25       76.18
         39 |          1        0.10       76.28
         40 |          2        0.21       76.49
         41 |         56        5.85       82.34
         42 |          7        0.73       83.07
         43 |          2        0.21       83.28
         44 |          9        0.94       84.22
         45 |        151       15.78      100.00
------------+-----------------------------------
      Total |        957      100.00
. decode UTB334_3, gen(pickup)
. destring pickup, gen(truck)
pickup: all characters numeric; truck generated as byte
(43 missing values generated)
. *replace truck=truck/100
. tab truck

   UTB334.3 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        130       13.58       13.58
          1 |          7        0.73       14.32
          2 |         12        1.25       15.57
          3 |          3        0.31       15.88
          4 |          5        0.52       16.41
          5 |         41        4.28       20.69
          6 |          4        0.42       21.11
          7 |          3        0.31       21.42
          8 |         10        1.04       22.47
          9 |          6        0.63       23.09
         10 |         63        6.58       29.68
         12 |          2        0.21       29.89
         15 |          1        0.10       29.99
         19 |          1        0.10       30.09
         20 |         31        3.24       33.33
         25 |         30        3.13       36.47
         29 |          1        0.10       36.57
         30 |         26        2.72       39.29
         33 |          1        0.10       39.39
         35 |          8        0.84       40.23
         38 |          1        0.10       40.33
         40 |         17        1.78       42.11
         43 |          1        0.10       42.22
         45 |          1        0.10       42.32
         50 |        114       11.91       54.23
         53 |          1        0.10       54.34
         55 |          2        0.21       54.55
         58 |          1        0.10       54.65
         59 |          1        0.10       54.75
         60 |         39        4.08       58.83
         65 |          9        0.94       59.77
         66 |          1        0.10       59.87
         67 |          1        0.10       59.98
         70 |         34        3.55       63.53
         75 |         53        5.54       69.07
         77 |          1        0.10       69.17
         80 |         55        5.75       74.92
         85 |         12        1.25       76.18
         86 |          1        0.10       76.28
         88 |          2        0.21       76.49
         90 |         56        5.85       82.34
         95 |          7        0.73       83.07
         98 |          2        0.21       83.28
         99 |          9        0.94       84.22
        100 |        151       15.78      100.00
------------+-----------------------------------
      Total |        957      100.00
. 
. *Diverse Mix of Ethnic and Racial Groups
. tab UTB334_4

   UTB334.4 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         58        6.04        6.04
          1 |          1        0.10        6.14
          2 |          5        0.52        6.66
          3 |          8        0.83        7.49
          4 |          3        0.31        7.80
          5 |         26        2.71       10.51
          6 |          3        0.31       10.82
          7 |          4        0.42       11.24
          8 |         16        1.66       12.90
          9 |          5        0.52       13.42
         10 |         48        4.99       18.42
         15 |          5        0.52       18.94
         20 |         29        3.02       21.96
         25 |         16        1.66       23.62
         30 |         17        1.77       25.39
         33 |          2        0.21       25.60
         35 |          8        0.83       26.43
         39 |          1        0.10       26.53
         40 |         24        2.50       29.03
         44 |          2        0.21       29.24
         45 |          3        0.31       29.55
         49 |          2        0.21       29.76
         50 |        141       14.67       44.43
         55 |          6        0.62       45.06
         56 |          1        0.10       45.16
         60 |         40        4.16       49.32
         65 |         11        1.14       50.47
         70 |         45        4.68       55.15
         74 |          2        0.21       55.36
         75 |         57        5.93       61.29
         77 |          1        0.10       61.39
         78 |          1        0.10       61.50
         80 |         50        5.20       66.70
         85 |         17        1.77       68.47
         88 |          1        0.10       68.57
         90 |         57        5.93       74.51
         94 |          1        0.10       74.61
         95 |         12        1.25       75.86
         98 |          3        0.31       76.17
         99 |          5        0.52       76.69
        100 |        224       23.31      100.00
------------+-----------------------------------
      Total |        961      100.00
. tab UTB334_4, nolab

   UTB334.4 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         58        6.04        6.04
          2 |          1        0.10        6.14
          3 |          5        0.52        6.66
          4 |          8        0.83        7.49
          5 |          3        0.31        7.80
          6 |         26        2.71       10.51
          7 |          3        0.31       10.82
          8 |          4        0.42       11.24
          9 |         16        1.66       12.90
         10 |          5        0.52       13.42
         11 |         48        4.99       18.42
         12 |          5        0.52       18.94
         13 |         29        3.02       21.96
         14 |         16        1.66       23.62
         15 |         17        1.77       25.39
         16 |          2        0.21       25.60
         17 |          8        0.83       26.43
         18 |          1        0.10       26.53
         19 |         24        2.50       29.03
         20 |          2        0.21       29.24
         21 |          3        0.31       29.55
         22 |          2        0.21       29.76
         23 |        141       14.67       44.43
         24 |          6        0.62       45.06
         25 |          1        0.10       45.16
         26 |         40        4.16       49.32
         27 |         11        1.14       50.47
         28 |         45        4.68       55.15
         29 |          2        0.21       55.36
         30 |         57        5.93       61.29
         31 |          1        0.10       61.39
         32 |          1        0.10       61.50
         33 |         50        5.20       66.70
         34 |         17        1.77       68.47
         35 |          1        0.10       68.57
         36 |         57        5.93       74.51
         37 |          1        0.10       74.61
         38 |         12        1.25       75.86
         39 |          3        0.31       76.17
         40 |          5        0.52       76.69
         41 |        224       23.31      100.00
------------+-----------------------------------
      Total |        961      100.00
. decode UTB334_4, gen(mix)
. destring mix, gen(diverse)
mix: all characters numeric; diverse generated as byte
(39 missing values generated)
. *replace diverse=diverse/100
. tab diverse

   UTB334.4 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         58        6.04        6.04
          1 |          1        0.10        6.14
          2 |          5        0.52        6.66
          3 |          8        0.83        7.49
          4 |          3        0.31        7.80
          5 |         26        2.71       10.51
          6 |          3        0.31       10.82
          7 |          4        0.42       11.24
          8 |         16        1.66       12.90
          9 |          5        0.52       13.42
         10 |         48        4.99       18.42
         15 |          5        0.52       18.94
         20 |         29        3.02       21.96
         25 |         16        1.66       23.62
         30 |         17        1.77       25.39
         33 |          2        0.21       25.60
         35 |          8        0.83       26.43
         39 |          1        0.10       26.53
         40 |         24        2.50       29.03
         44 |          2        0.21       29.24
         45 |          3        0.31       29.55
         49 |          2        0.21       29.76
         50 |        141       14.67       44.43
         55 |          6        0.62       45.06
         56 |          1        0.10       45.16
         60 |         40        4.16       49.32
         65 |         11        1.14       50.47
         70 |         45        4.68       55.15
         74 |          2        0.21       55.36
         75 |         57        5.93       61.29
         77 |          1        0.10       61.39
         78 |          1        0.10       61.50
         80 |         50        5.20       66.70
         85 |         17        1.77       68.47
         88 |          1        0.10       68.57
         90 |         57        5.93       74.51
         94 |          1        0.10       74.61
         95 |         12        1.25       75.86
         98 |          3        0.31       76.17
         99 |          5        0.52       76.69
        100 |        224       23.31      100.00
------------+-----------------------------------
      Total |        961      100.00
. 
. *Alternative neighborhoods like...
. tab UTB334_5

   UTB334.5 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        130       13.60       13.60
          1 |         15        1.57       15.17
          2 |          7        0.73       15.90
          3 |          4        0.42       16.32
          4 |          5        0.52       16.84
          5 |         48        5.02       21.86
          6 |          3        0.31       22.18
          7 |          1        0.10       22.28
          8 |         10        1.05       23.33
          9 |          6        0.63       23.95
         10 |         66        6.90       30.86
         11 |          2        0.21       31.07
         12 |          2        0.21       31.28
         15 |          5        0.52       31.80
         18 |          1        0.10       31.90
         20 |         62        6.49       38.39
         25 |         31        3.24       41.63
         30 |         33        3.45       45.08
         35 |          8        0.84       45.92
         40 |         34        3.56       49.48
         45 |          6        0.63       50.10
         50 |        140       14.64       64.75
         53 |          1        0.10       64.85
         55 |          3        0.31       65.17
         56 |          1        0.10       65.27
         57 |          1        0.10       65.38
         59 |          1        0.10       65.48
         60 |         39        4.08       69.56
         65 |          7        0.73       70.29
         70 |         28        2.93       73.22
         75 |         42        4.39       77.62
         76 |          2        0.21       77.82
         78 |          2        0.21       78.03
         80 |         32        3.35       81.38
         85 |          5        0.52       81.90
         88 |          1        0.10       82.01
         90 |         41        4.29       86.30
         95 |          4        0.42       86.72
         99 |          1        0.10       86.82
        100 |        126       13.18      100.00
------------+-----------------------------------
      Total |        956      100.00
. tab UTB334_5, nolab

   UTB334.5 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        130       13.60       13.60
          2 |         15        1.57       15.17
          3 |          7        0.73       15.90
          4 |          4        0.42       16.32
          5 |          5        0.52       16.84
          6 |         48        5.02       21.86
          7 |          3        0.31       22.18
          8 |          1        0.10       22.28
          9 |         10        1.05       23.33
         10 |          6        0.63       23.95
         11 |         66        6.90       30.86
         12 |          2        0.21       31.07
         13 |          2        0.21       31.28
         14 |          5        0.52       31.80
         15 |          1        0.10       31.90
         16 |         62        6.49       38.39
         17 |         31        3.24       41.63
         18 |         33        3.45       45.08
         19 |          8        0.84       45.92
         20 |         34        3.56       49.48
         21 |          6        0.63       50.10
         22 |        140       14.64       64.75
         23 |          1        0.10       64.85
         24 |          3        0.31       65.17
         25 |          1        0.10       65.27
         26 |          1        0.10       65.38
         27 |          1        0.10       65.48
         28 |         39        4.08       69.56
         29 |          7        0.73       70.29
         30 |         28        2.93       73.22
         31 |         42        4.39       77.62
         32 |          2        0.21       77.82
         33 |          2        0.21       78.03
         34 |         32        3.35       81.38
         35 |          5        0.52       81.90
         36 |          1        0.10       82.01
         37 |         41        4.29       86.30
         38 |          4        0.42       86.72
         39 |          1        0.10       86.82
         40 |        126       13.18      100.00
------------+-----------------------------------
      Total |        956      100.00
. decode UTB334_5, gen(alter)
. destring alter, gen(hoods)
alter: all characters numeric; hoods generated as byte
(44 missing values generated)
. *replace hoods=hoods/100
. tab hoods

   UTB334.5 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        130       13.60       13.60
          1 |         15        1.57       15.17
          2 |          7        0.73       15.90
          3 |          4        0.42       16.32
          4 |          5        0.52       16.84
          5 |         48        5.02       21.86
          6 |          3        0.31       22.18
          7 |          1        0.10       22.28
          8 |         10        1.05       23.33
          9 |          6        0.63       23.95
         10 |         66        6.90       30.86
         11 |          2        0.21       31.07
         12 |          2        0.21       31.28
         15 |          5        0.52       31.80
         18 |          1        0.10       31.90
         20 |         62        6.49       38.39
         25 |         31        3.24       41.63
         30 |         33        3.45       45.08
         35 |          8        0.84       45.92
         40 |         34        3.56       49.48
         45 |          6        0.63       50.10
         50 |        140       14.64       64.75
         53 |          1        0.10       64.85
         55 |          3        0.31       65.17
         56 |          1        0.10       65.27
         57 |          1        0.10       65.38
         59 |          1        0.10       65.48
         60 |         39        4.08       69.56
         65 |          7        0.73       70.29
         70 |         28        2.93       73.22
         75 |         42        4.39       77.62
         76 |          2        0.21       77.82
         78 |          2        0.21       78.03
         80 |         32        3.35       81.38
         85 |          5        0.52       81.90
         88 |          1        0.10       82.01
         90 |         41        4.29       86.30
         95 |          4        0.42       86.72
         99 |          1        0.10       86.82
        100 |        126       13.18      100.00
------------+-----------------------------------
      Total |        956      100.00
. 
. *American History
. tab UTB334_6

   UTB334.6 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         33        3.43        3.43
          1 |          3        0.31        3.74
          2 |          3        0.31        4.05
          3 |          3        0.31        4.36
          4 |          3        0.31        4.67
          5 |         19        1.97        6.65
          6 |          3        0.31        6.96
          7 |          3        0.31        7.27
          8 |          6        0.62        7.89
          9 |         11        1.14        9.03
         10 |         55        5.71       14.75
         12 |          1        0.10       14.85
         15 |          9        0.93       15.78
         19 |          1        0.10       15.89
         20 |         14        1.45       17.34
         23 |          1        0.10       17.45
         25 |         14        1.45       18.90
         30 |         13        1.35       20.25
         32 |          1        0.10       20.35
         33 |          1        0.10       20.46
         35 |          3        0.31       20.77
         40 |         11        1.14       21.91
         45 |          2        0.21       22.12
         50 |         55        5.71       27.83
         54 |          2        0.21       28.04
         55 |          3        0.31       28.35
         56 |          1        0.10       28.45
         60 |         21        2.18       30.63
         65 |          8        0.83       31.46
         68 |          2        0.21       31.67
         69 |          2        0.21       31.88
         70 |         28        2.91       34.79
         75 |         45        4.67       39.46
         77 |          2        0.21       39.67
         80 |         52        5.40       45.07
         85 |         14        1.45       46.52
         88 |          1        0.10       46.63
         89 |          1        0.10       46.73
         90 |         80        8.31       55.04
         93 |          1        0.10       55.14
         95 |         10        1.04       56.18
         98 |          3        0.31       56.49
         99 |         16        1.66       58.15
        100 |        403       41.85      100.00
------------+-----------------------------------
      Total |        963      100.00
. tab UTB334_6, nolab

   UTB334.6 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         33        3.43        3.43
          2 |          3        0.31        3.74
          3 |          3        0.31        4.05
          4 |          3        0.31        4.36
          5 |          3        0.31        4.67
          6 |         19        1.97        6.65
          7 |          3        0.31        6.96
          8 |          3        0.31        7.27
          9 |          6        0.62        7.89
         10 |         11        1.14        9.03
         11 |         55        5.71       14.75
         12 |          1        0.10       14.85
         13 |          9        0.93       15.78
         14 |          1        0.10       15.89
         15 |         14        1.45       17.34
         16 |          1        0.10       17.45
         17 |         14        1.45       18.90
         18 |         13        1.35       20.25
         19 |          1        0.10       20.35
         20 |          1        0.10       20.46
         21 |          3        0.31       20.77
         22 |         11        1.14       21.91
         23 |          2        0.21       22.12
         24 |         55        5.71       27.83
         25 |          2        0.21       28.04
         26 |          3        0.31       28.35
         27 |          1        0.10       28.45
         28 |         21        2.18       30.63
         29 |          8        0.83       31.46
         30 |          2        0.21       31.67
         31 |          2        0.21       31.88
         32 |         28        2.91       34.79
         33 |         45        4.67       39.46
         34 |          2        0.21       39.67
         35 |         52        5.40       45.07
         36 |         14        1.45       46.52
         37 |          1        0.10       46.63
         38 |          1        0.10       46.73
         39 |         80        8.31       55.04
         40 |          1        0.10       55.14
         41 |         10        1.04       56.18
         42 |          3        0.31       56.49
         43 |         16        1.66       58.15
         44 |        403       41.85      100.00
------------+-----------------------------------
      Total |        963      100.00
. decode UTB334_6, gen(hist)
. destring hist, gen(history)
hist: all characters numeric; history generated as byte
(37 missing values generated)
. *replace history=history/100
. tab history

   UTB334.6 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         33        3.43        3.43
          1 |          3        0.31        3.74
          2 |          3        0.31        4.05
          3 |          3        0.31        4.36
          4 |          3        0.31        4.67
          5 |         19        1.97        6.65
          6 |          3        0.31        6.96
          7 |          3        0.31        7.27
          8 |          6        0.62        7.89
          9 |         11        1.14        9.03
         10 |         55        5.71       14.75
         12 |          1        0.10       14.85
         15 |          9        0.93       15.78
         19 |          1        0.10       15.89
         20 |         14        1.45       17.34
         23 |          1        0.10       17.45
         25 |         14        1.45       18.90
         30 |         13        1.35       20.25
         32 |          1        0.10       20.35
         33 |          1        0.10       20.46
         35 |          3        0.31       20.77
         40 |         11        1.14       21.91
         45 |          2        0.21       22.12
         50 |         55        5.71       27.83
         54 |          2        0.21       28.04
         55 |          3        0.31       28.35
         56 |          1        0.10       28.45
         60 |         21        2.18       30.63
         65 |          8        0.83       31.46
         68 |          2        0.21       31.67
         69 |          2        0.21       31.88
         70 |         28        2.91       34.79
         75 |         45        4.67       39.46
         77 |          2        0.21       39.67
         80 |         52        5.40       45.07
         85 |         14        1.45       46.52
         88 |          1        0.10       46.63
         89 |          1        0.10       46.73
         90 |         80        8.31       55.04
         93 |          1        0.10       55.14
         95 |         10        1.04       56.18
         98 |          3        0.31       56.49
         99 |         16        1.66       58.15
        100 |        403       41.85      100.00
------------+-----------------------------------
      Total |        963      100.00
. 
. *Baseball
. tab UTB334_7

   UTB334.7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         81        8.45        8.45
          1 |          5        0.52        8.97
          2 |          8        0.83        9.80
          3 |          6        0.63       10.43
          4 |          2        0.21       10.64
          5 |         23        2.40       13.03
          6 |          6        0.63       13.66
          7 |          3        0.31       13.97
          8 |          7        0.73       14.70
          9 |         14        1.46       16.16
         10 |         50        5.21       21.38
         11 |          1        0.10       21.48
         12 |          1        0.10       21.58
         15 |          8        0.83       22.42
         19 |          1        0.10       22.52
         20 |         25        2.61       25.13
         23 |          1        0.10       25.23
         25 |         21        2.19       27.42
         30 |         14        1.46       28.88
         33 |          2        0.21       29.09
         34 |          1        0.10       29.20
         37 |          1        0.10       29.30
         38 |          1        0.10       29.41
         40 |         12        1.25       30.66
         43 |          1        0.10       30.76
         45 |          2        0.21       30.97
         49 |          1        0.10       31.07
         50 |         79        8.24       39.31
         55 |          4        0.42       39.73
         56 |          1        0.10       39.83
         58 |          1        0.10       39.94
         60 |         43        4.48       44.42
         65 |         10        1.04       45.46
         68 |          1        0.10       45.57
         70 |         35        3.65       49.22
         75 |         47        4.90       54.12
         77 |          1        0.10       54.22
         78 |          1        0.10       54.33
         80 |         75        7.82       62.15
         85 |          7        0.73       62.88
         90 |         77        8.03       70.91
         95 |         14        1.46       72.37
         96 |          1        0.10       72.47
         97 |          1        0.10       72.58
         98 |          2        0.21       72.78
         99 |         17        1.77       74.56
        100 |        244       25.44      100.00
------------+-----------------------------------
      Total |        959      100.00
. tab UTB334_7, nolab

   UTB334.7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         81        8.45        8.45
          2 |          5        0.52        8.97
          3 |          8        0.83        9.80
          4 |          6        0.63       10.43
          5 |          2        0.21       10.64
          6 |         23        2.40       13.03
          7 |          6        0.63       13.66
          8 |          3        0.31       13.97
          9 |          7        0.73       14.70
         10 |         14        1.46       16.16
         11 |         50        5.21       21.38
         12 |          1        0.10       21.48
         13 |          1        0.10       21.58
         14 |          8        0.83       22.42
         15 |          1        0.10       22.52
         16 |         25        2.61       25.13
         17 |          1        0.10       25.23
         18 |         21        2.19       27.42
         19 |         14        1.46       28.88
         20 |          2        0.21       29.09
         21 |          1        0.10       29.20
         22 |          1        0.10       29.30
         23 |          1        0.10       29.41
         24 |         12        1.25       30.66
         25 |          1        0.10       30.76
         26 |          2        0.21       30.97
         27 |          1        0.10       31.07
         28 |         79        8.24       39.31
         29 |          4        0.42       39.73
         30 |          1        0.10       39.83
         31 |          1        0.10       39.94
         32 |         43        4.48       44.42
         33 |         10        1.04       45.46
         34 |          1        0.10       45.57
         35 |         35        3.65       49.22
         36 |         47        4.90       54.12
         37 |          1        0.10       54.22
         38 |          1        0.10       54.33
         39 |         75        7.82       62.15
         40 |          7        0.73       62.88
         41 |         77        8.03       70.91
         42 |         14        1.46       72.37
         43 |          1        0.10       72.47
         44 |          1        0.10       72.58
         45 |          2        0.21       72.78
         46 |         17        1.77       74.56
         47 |        244       25.44      100.00
------------+-----------------------------------
      Total |        959      100.00
. decode UTB334_7, gen(base)
. destring base, gen(baseball)
base: all characters numeric; baseball generated as byte
(41 missing values generated)
. *replace baseball=baseball/100
. tab baseball

   UTB334.7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         81        8.45        8.45
          1 |          5        0.52        8.97
          2 |          8        0.83        9.80
          3 |          6        0.63       10.43
          4 |          2        0.21       10.64
          5 |         23        2.40       13.03
          6 |          6        0.63       13.66
          7 |          3        0.31       13.97
          8 |          7        0.73       14.70
          9 |         14        1.46       16.16
         10 |         50        5.21       21.38
         11 |          1        0.10       21.48
         12 |          1        0.10       21.58
         15 |          8        0.83       22.42
         19 |          1        0.10       22.52
         20 |         25        2.61       25.13
         23 |          1        0.10       25.23
         25 |         21        2.19       27.42
         30 |         14        1.46       28.88
         33 |          2        0.21       29.09
         34 |          1        0.10       29.20
         37 |          1        0.10       29.30
         38 |          1        0.10       29.41
         40 |         12        1.25       30.66
         43 |          1        0.10       30.76
         45 |          2        0.21       30.97
         49 |          1        0.10       31.07
         50 |         79        8.24       39.31
         55 |          4        0.42       39.73
         56 |          1        0.10       39.83
         58 |          1        0.10       39.94
         60 |         43        4.48       44.42
         65 |         10        1.04       45.46
         68 |          1        0.10       45.57
         70 |         35        3.65       49.22
         75 |         47        4.90       54.12
         77 |          1        0.10       54.22
         78 |          1        0.10       54.33
         80 |         75        7.82       62.15
         85 |          7        0.73       62.88
         90 |         77        8.03       70.91
         95 |         14        1.46       72.37
         96 |          1        0.10       72.47
         97 |          1        0.10       72.58
         98 |          2        0.21       72.78
         99 |         17        1.77       74.56
        100 |        244       25.44      100.00
------------+-----------------------------------
      Total |        959      100.00
. 
. *The Armed Forces
. tab UTB334_8

   UTB334.8 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         52        5.42        5.42
          1 |          6        0.63        6.05
          2 |          5        0.52        6.57
          3 |          4        0.42        6.99
          4 |          3        0.31        7.30
          5 |         15        1.56        8.86
          6 |          1        0.10        8.97
          7 |          4        0.42        9.38
          8 |         11        1.15       10.53
          9 |          9        0.94       11.47
         10 |         51        5.32       16.79
         14 |          1        0.10       16.89
         15 |          6        0.63       17.52
         19 |          1        0.10       17.62
         20 |         25        2.61       20.23
         25 |         14        1.46       21.69
         30 |         16        1.67       23.36
         34 |          1        0.10       23.46
         35 |          8        0.83       24.30
         40 |         11        1.15       25.44
         41 |          1        0.10       25.55
         44 |          2        0.21       25.76
         45 |          2        0.21       25.96
         48 |          1        0.10       26.07
         50 |         79        8.24       34.31
         54 |          1        0.10       34.41
         55 |          4        0.42       34.83
         60 |         27        2.82       37.64
         65 |          5        0.52       38.16
         66 |          1        0.10       38.27
         67 |          1        0.10       38.37
         70 |         27        2.82       41.19
         75 |         34        3.55       44.73
         79 |          2        0.21       44.94
         80 |         70        7.30       52.24
         85 |         19        1.98       54.22
         88 |          2        0.21       54.43
         90 |         66        6.88       61.31
         92 |          1        0.10       61.42
         95 |         14        1.46       62.88
         96 |          1        0.10       62.98
         98 |          3        0.31       63.30
         99 |         17        1.77       65.07
        100 |        335       34.93      100.00
------------+-----------------------------------
      Total |        959      100.00
. tab UTB334_8, nolab

   UTB334.8 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         52        5.42        5.42
          2 |          6        0.63        6.05
          3 |          5        0.52        6.57
          4 |          4        0.42        6.99
          5 |          3        0.31        7.30
          6 |         15        1.56        8.86
          7 |          1        0.10        8.97
          8 |          4        0.42        9.38
          9 |         11        1.15       10.53
         10 |          9        0.94       11.47
         11 |         51        5.32       16.79
         12 |          1        0.10       16.89
         13 |          6        0.63       17.52
         14 |          1        0.10       17.62
         15 |         25        2.61       20.23
         16 |         14        1.46       21.69
         17 |         16        1.67       23.36
         18 |          1        0.10       23.46
         19 |          8        0.83       24.30
         20 |         11        1.15       25.44
         21 |          1        0.10       25.55
         22 |          2        0.21       25.76
         23 |          2        0.21       25.96
         24 |          1        0.10       26.07
         25 |         79        8.24       34.31
         26 |          1        0.10       34.41
         27 |          4        0.42       34.83
         28 |         27        2.82       37.64
         29 |          5        0.52       38.16
         30 |          1        0.10       38.27
         31 |          1        0.10       38.37
         32 |         27        2.82       41.19
         33 |         34        3.55       44.73
         34 |          2        0.21       44.94
         35 |         70        7.30       52.24
         36 |         19        1.98       54.22
         37 |          2        0.21       54.43
         38 |         66        6.88       61.31
         39 |          1        0.10       61.42
         40 |         14        1.46       62.88
         41 |          1        0.10       62.98
         42 |          3        0.31       63.30
         43 |         17        1.77       65.07
         44 |        335       34.93      100.00
------------+-----------------------------------
      Total |        959      100.00
. decode UTB334_8, gen(arm)
. destring arm, gen(armed)
arm: all characters numeric; armed generated as byte
(41 missing values generated)
. *replace armed=armed/100
. tab armed

   UTB334.8 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         52        5.42        5.42
          1 |          6        0.63        6.05
          2 |          5        0.52        6.57
          3 |          4        0.42        6.99
          4 |          3        0.31        7.30
          5 |         15        1.56        8.86
          6 |          1        0.10        8.97
          7 |          4        0.42        9.38
          8 |         11        1.15       10.53
          9 |          9        0.94       11.47
         10 |         51        5.32       16.79
         14 |          1        0.10       16.89
         15 |          6        0.63       17.52
         19 |          1        0.10       17.62
         20 |         25        2.61       20.23
         25 |         14        1.46       21.69
         30 |         16        1.67       23.36
         34 |          1        0.10       23.46
         35 |          8        0.83       24.30
         40 |         11        1.15       25.44
         41 |          1        0.10       25.55
         44 |          2        0.21       25.76
         45 |          2        0.21       25.96
         48 |          1        0.10       26.07
         50 |         79        8.24       34.31
         54 |          1        0.10       34.41
         55 |          4        0.42       34.83
         60 |         27        2.82       37.64
         65 |          5        0.52       38.16
         66 |          1        0.10       38.27
         67 |          1        0.10       38.37
         70 |         27        2.82       41.19
         75 |         34        3.55       44.73
         79 |          2        0.21       44.94
         80 |         70        7.30       52.24
         85 |         19        1.98       54.22
         88 |          2        0.21       54.43
         90 |         66        6.88       61.31
         92 |          1        0.10       61.42
         95 |         14        1.46       62.88
         96 |          1        0.10       62.98
         98 |          3        0.31       63.30
         99 |         17        1.77       65.07
        100 |        335       34.93      100.00
------------+-----------------------------------
      Total |        959      100.00
. 
. *National Parks
. tab UTB334_9

   UTB334.9 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         33        3.43        3.43
          1 |          2        0.21        3.64
          2 |          2        0.21        3.85
          3 |          1        0.10        3.95
          4 |          2        0.21        4.16
          5 |         19        1.98        6.14
          6 |          5        0.52        6.66
          7 |          7        0.73        7.39
          8 |          8        0.83        8.22
          9 |         10        1.04        9.26
         10 |         60        6.24       15.50
         11 |          1        0.10       15.61
         12 |          1        0.10       15.71
         15 |          6        0.62       16.34
         19 |          2        0.21       16.55
         20 |         13        1.35       17.90
         25 |         18        1.87       19.77
         30 |         16        1.66       21.44
         34 |          1        0.10       21.54
         35 |          5        0.52       22.06
         39 |          1        0.10       22.16
         40 |         15        1.56       23.73
         45 |          5        0.52       24.25
         47 |          1        0.10       24.35
         50 |         78        8.12       32.47
         55 |          5        0.52       32.99
         60 |         29        3.02       36.00
         65 |          8        0.83       36.84
         66 |          2        0.21       37.04
         67 |          1        0.10       37.15
         68 |          1        0.10       37.25
         69 |          1        0.10       37.36
         70 |         39        4.06       41.42
         75 |         49        5.10       46.51
         76 |          1        0.10       46.62
         79 |          3        0.31       46.93
         80 |         82        8.53       55.46
         85 |         16        1.66       57.13
         87 |          2        0.21       57.34
         89 |          2        0.21       57.54
         90 |         73        7.60       65.14
         92 |          1        0.10       65.24
         95 |         22        2.29       67.53
         97 |          1        0.10       67.64
         98 |          1        0.10       67.74
         99 |          6        0.62       68.37
        100 |        304       31.63      100.00
------------+-----------------------------------
      Total |        961      100.00
. tab UTB334_9, nolab

   UTB334.9 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         33        3.43        3.43
          2 |          2        0.21        3.64
          3 |          2        0.21        3.85
          4 |          1        0.10        3.95
          5 |          2        0.21        4.16
          6 |         19        1.98        6.14
          7 |          5        0.52        6.66
          8 |          7        0.73        7.39
          9 |          8        0.83        8.22
         10 |         10        1.04        9.26
         11 |         60        6.24       15.50
         12 |          1        0.10       15.61
         13 |          1        0.10       15.71
         14 |          6        0.62       16.34
         15 |          2        0.21       16.55
         16 |         13        1.35       17.90
         17 |         18        1.87       19.77
         18 |         16        1.66       21.44
         19 |          1        0.10       21.54
         20 |          5        0.52       22.06
         21 |          1        0.10       22.16
         22 |         15        1.56       23.73
         23 |          5        0.52       24.25
         24 |          1        0.10       24.35
         25 |         78        8.12       32.47
         26 |          5        0.52       32.99
         27 |         29        3.02       36.00
         28 |          8        0.83       36.84
         29 |          2        0.21       37.04
         30 |          1        0.10       37.15
         31 |          1        0.10       37.25
         32 |          1        0.10       37.36
         33 |         39        4.06       41.42
         34 |         49        5.10       46.51
         35 |          1        0.10       46.62
         36 |          3        0.31       46.93
         37 |         82        8.53       55.46
         38 |         16        1.66       57.13
         39 |          2        0.21       57.34
         40 |          2        0.21       57.54
         41 |         73        7.60       65.14
         42 |          1        0.10       65.24
         43 |         22        2.29       67.53
         44 |          1        0.10       67.64
         45 |          1        0.10       67.74
         46 |          6        0.62       68.37
         47 |        304       31.63      100.00
------------+-----------------------------------
      Total |        961      100.00
. decode UTB334_9, gen(nat)
. destring nat, gen(national)
nat: all characters numeric; national generated as byte
(39 missing values generated)
. *replace national=national/100
. tab national

   UTB334.9 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         33        3.43        3.43
          1 |          2        0.21        3.64
          2 |          2        0.21        3.85
          3 |          1        0.10        3.95
          4 |          2        0.21        4.16
          5 |         19        1.98        6.14
          6 |          5        0.52        6.66
          7 |          7        0.73        7.39
          8 |          8        0.83        8.22
          9 |         10        1.04        9.26
         10 |         60        6.24       15.50
         11 |          1        0.10       15.61
         12 |          1        0.10       15.71
         15 |          6        0.62       16.34
         19 |          2        0.21       16.55
         20 |         13        1.35       17.90
         25 |         18        1.87       19.77
         30 |         16        1.66       21.44
         34 |          1        0.10       21.54
         35 |          5        0.52       22.06
         39 |          1        0.10       22.16
         40 |         15        1.56       23.73
         45 |          5        0.52       24.25
         47 |          1        0.10       24.35
         50 |         78        8.12       32.47
         55 |          5        0.52       32.99
         60 |         29        3.02       36.00
         65 |          8        0.83       36.84
         66 |          2        0.21       37.04
         67 |          1        0.10       37.15
         68 |          1        0.10       37.25
         69 |          1        0.10       37.36
         70 |         39        4.06       41.42
         75 |         49        5.10       46.51
         76 |          1        0.10       46.62
         79 |          3        0.31       46.93
         80 |         82        8.53       55.46
         85 |         16        1.66       57.13
         87 |          2        0.21       57.34
         89 |          2        0.21       57.54
         90 |         73        7.60       65.14
         92 |          1        0.10       65.24
         95 |         22        2.29       67.53
         97 |          1        0.10       67.64
         98 |          1        0.10       67.74
         99 |          6        0.62       68.37
        100 |        304       31.63      100.00
------------+-----------------------------------
      Total |        961      100.00
. 
. *Immigrants
. tab UTB334_10

  UTB334.10 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         93        9.70        9.70
          1 |          9        0.94       10.64
          2 |          9        0.94       11.57
          3 |          6        0.63       12.20
          4 |          1        0.10       12.30
          5 |         28        2.92       15.22
          6 |          5        0.52       15.75
          7 |          9        0.94       16.68
          8 |         13        1.36       18.04
          9 |          7        0.73       18.77
         10 |         58        6.05       24.82
         15 |          7        0.73       25.55
         20 |         45        4.69       30.24
         25 |         32        3.34       33.58
         26 |          1        0.10       33.68
         29 |          1        0.10       33.79
         30 |         29        3.02       36.81
         33 |          2        0.21       37.02
         35 |          5        0.52       37.54
         36 |          1        0.10       37.64
         40 |         25        2.61       40.25
         42 |          1        0.10       40.35
         43 |          1        0.10       40.46
         44 |          1        0.10       40.56
         45 |          5        0.52       41.08
         46 |          1        0.10       41.19
         48 |          1        0.10       41.29
         50 |        137       14.29       55.58
         54 |          2        0.21       55.79
         55 |          3        0.31       56.10
         57 |          1        0.10       56.20
         58 |          1        0.10       56.31
         59 |          1        0.10       56.41
         60 |         48        5.01       61.42
         65 |          9        0.94       62.36
         66 |          1        0.10       62.46
         68 |          1        0.10       62.57
         70 |         32        3.34       65.90
         75 |         66        6.88       72.78
         76 |          1        0.10       72.89
         78 |          1        0.10       72.99
         79 |          2        0.21       73.20
         80 |         64        6.67       79.87
         85 |         12        1.25       81.13
         86 |          2        0.21       81.33
         87 |          2        0.21       81.54
         89 |          1        0.10       81.65
         90 |         40        4.17       85.82
         95 |          4        0.42       86.24
         97 |          2        0.21       86.44
         98 |          2        0.21       86.65
         99 |          2        0.21       86.86
        100 |        126       13.14      100.00
------------+-----------------------------------
      Total |        959      100.00
. tab UTB334_10, nolab

  UTB334.10 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         93        9.70        9.70
          2 |          9        0.94       10.64
          3 |          9        0.94       11.57
          4 |          6        0.63       12.20
          5 |          1        0.10       12.30
          6 |         28        2.92       15.22
          7 |          5        0.52       15.75
          8 |          9        0.94       16.68
          9 |         13        1.36       18.04
         10 |          7        0.73       18.77
         11 |         58        6.05       24.82
         12 |          7        0.73       25.55
         13 |         45        4.69       30.24
         14 |         32        3.34       33.58
         15 |          1        0.10       33.68
         16 |          1        0.10       33.79
         17 |         29        3.02       36.81
         18 |          2        0.21       37.02
         19 |          5        0.52       37.54
         20 |          1        0.10       37.64
         21 |         25        2.61       40.25
         22 |          1        0.10       40.35
         23 |          1        0.10       40.46
         24 |          1        0.10       40.56
         25 |          5        0.52       41.08
         26 |          1        0.10       41.19
         27 |          1        0.10       41.29
         28 |        137       14.29       55.58
         29 |          2        0.21       55.79
         30 |          3        0.31       56.10
         31 |          1        0.10       56.20
         32 |          1        0.10       56.31
         33 |          1        0.10       56.41
         34 |         48        5.01       61.42
         35 |          9        0.94       62.36
         36 |          1        0.10       62.46
         37 |          1        0.10       62.57
         38 |         32        3.34       65.90
         39 |         66        6.88       72.78
         40 |          1        0.10       72.89
         41 |          1        0.10       72.99
         42 |          2        0.21       73.20
         43 |         64        6.67       79.87
         44 |         12        1.25       81.13
         45 |          2        0.21       81.33
         46 |          2        0.21       81.54
         47 |          1        0.10       81.65
         48 |         40        4.17       85.82
         49 |          4        0.42       86.24
         50 |          2        0.21       86.44
         51 |          2        0.21       86.65
         52 |          2        0.21       86.86
         53 |        126       13.14      100.00
------------+-----------------------------------
      Total |        959      100.00
. decode UTB334_10, gen(immig)
. destring immig, gen(immigrant)
immig: all characters numeric; immigrant generated as byte
(41 missing values generated)
. *replace immigrant=immigrant/100
. tab immigrant

  UTB334.10 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |         93        9.70        9.70
          1 |          9        0.94       10.64
          2 |          9        0.94       11.57
          3 |          6        0.63       12.20
          4 |          1        0.10       12.30
          5 |         28        2.92       15.22
          6 |          5        0.52       15.75
          7 |          9        0.94       16.68
          8 |         13        1.36       18.04
          9 |          7        0.73       18.77
         10 |         58        6.05       24.82
         15 |          7        0.73       25.55
         20 |         45        4.69       30.24
         25 |         32        3.34       33.58
         26 |          1        0.10       33.68
         29 |          1        0.10       33.79
         30 |         29        3.02       36.81
         33 |          2        0.21       37.02
         35 |          5        0.52       37.54
         36 |          1        0.10       37.64
         40 |         25        2.61       40.25
         42 |          1        0.10       40.35
         43 |          1        0.10       40.46
         44 |          1        0.10       40.56
         45 |          5        0.52       41.08
         46 |          1        0.10       41.19
         48 |          1        0.10       41.29
         50 |        137       14.29       55.58
         54 |          2        0.21       55.79
         55 |          3        0.31       56.10
         57 |          1        0.10       56.20
         58 |          1        0.10       56.31
         59 |          1        0.10       56.41
         60 |         48        5.01       61.42
         65 |          9        0.94       62.36
         66 |          1        0.10       62.46
         68 |          1        0.10       62.57
         70 |         32        3.34       65.90
         75 |         66        6.88       72.78
         76 |          1        0.10       72.89
         78 |          1        0.10       72.99
         79 |          2        0.21       73.20
         80 |         64        6.67       79.87
         85 |         12        1.25       81.13
         86 |          2        0.21       81.33
         87 |          2        0.21       81.54
         89 |          1        0.10       81.65
         90 |         40        4.17       85.82
         95 |          4        0.42       86.24
         97 |          2        0.21       86.44
         98 |          2        0.21       86.65
         99 |          2        0.21       86.86
        100 |        126       13.14      100.00
------------+-----------------------------------
      Total |        959      100.00
. 
. *Football
. tab UTB334_11

  UTB334.11 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        119       12.37       12.37
          1 |          9        0.94       13.31
          2 |          8        0.83       14.14
          3 |          8        0.83       14.97
          5 |         24        2.49       17.46
          6 |          2        0.21       17.67
          7 |          5        0.52       18.19
          8 |         11        1.14       19.33
          9 |         11        1.14       20.48
         10 |         34        3.53       24.01
         15 |          5        0.52       24.53
         20 |         26        2.70       27.23
         25 |         25        2.60       29.83
         30 |         21        2.18       32.02
         32 |          1        0.10       32.12
         35 |          1        0.10       32.22
         40 |         19        1.98       34.20
         45 |          6        0.62       34.82
         50 |         89        9.25       44.07
         55 |          2        0.21       44.28
         59 |          1        0.10       44.39
         60 |         39        4.05       48.44
         65 |          8        0.83       49.27
         66 |          1        0.10       49.38
         67 |          1        0.10       49.48
         69 |          2        0.21       49.69
         70 |         41        4.26       53.95
         72 |          1        0.10       54.05
         75 |         38        3.95       58.00
         76 |          1        0.10       58.11
         77 |          1        0.10       58.21
         79 |          1        0.10       58.32
         80 |         64        6.65       64.97
         82 |          1        0.10       65.07
         85 |         13        1.35       66.42
         88 |          2        0.21       66.63
         90 |         50        5.20       71.83
         94 |          1        0.10       71.93
         95 |          8        0.83       72.77
         96 |          2        0.21       72.97
         97 |          1        0.10       73.08
         98 |          2        0.21       73.28
         99 |          9        0.94       74.22
        100 |        248       25.78      100.00
------------+-----------------------------------
      Total |        962      100.00
. tab UTB334_11, nolab

  UTB334.11 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        119       12.37       12.37
          2 |          9        0.94       13.31
          3 |          8        0.83       14.14
          4 |          8        0.83       14.97
          5 |         24        2.49       17.46
          6 |          2        0.21       17.67
          7 |          5        0.52       18.19
          8 |         11        1.14       19.33
          9 |         11        1.14       20.48
         10 |         34        3.53       24.01
         11 |          5        0.52       24.53
         12 |         26        2.70       27.23
         13 |         25        2.60       29.83
         14 |         21        2.18       32.02
         15 |          1        0.10       32.12
         16 |          1        0.10       32.22
         17 |         19        1.98       34.20
         18 |          6        0.62       34.82
         19 |         89        9.25       44.07
         20 |          2        0.21       44.28
         21 |          1        0.10       44.39
         22 |         39        4.05       48.44
         23 |          8        0.83       49.27
         24 |          1        0.10       49.38
         25 |          1        0.10       49.48
         26 |          2        0.21       49.69
         27 |         41        4.26       53.95
         28 |          1        0.10       54.05
         29 |         38        3.95       58.00
         30 |          1        0.10       58.11
         31 |          1        0.10       58.21
         32 |          1        0.10       58.32
         33 |         64        6.65       64.97
         34 |          1        0.10       65.07
         35 |         13        1.35       66.42
         36 |          2        0.21       66.63
         37 |         50        5.20       71.83
         38 |          1        0.10       71.93
         39 |          8        0.83       72.77
         40 |          2        0.21       72.97
         41 |          1        0.10       73.08
         42 |          2        0.21       73.28
         43 |          9        0.94       74.22
         44 |        248       25.78      100.00
------------+-----------------------------------
      Total |        962      100.00
. decode UTB334_11, gen(foot)
. destring foot, gen(football)
foot: all characters numeric; football generated as byte
(38 missing values generated)
. *replace football=football/100
. tab football

  UTB334.11 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        119       12.37       12.37
          1 |          9        0.94       13.31
          2 |          8        0.83       14.14
          3 |          8        0.83       14.97
          5 |         24        2.49       17.46
          6 |          2        0.21       17.67
          7 |          5        0.52       18.19
          8 |         11        1.14       19.33
          9 |         11        1.14       20.48
         10 |         34        3.53       24.01
         15 |          5        0.52       24.53
         20 |         26        2.70       27.23
         25 |         25        2.60       29.83
         30 |         21        2.18       32.02
         32 |          1        0.10       32.12
         35 |          1        0.10       32.22
         40 |         19        1.98       34.20
         45 |          6        0.62       34.82
         50 |         89        9.25       44.07
         55 |          2        0.21       44.28
         59 |          1        0.10       44.39
         60 |         39        4.05       48.44
         65 |          8        0.83       49.27
         66 |          1        0.10       49.38
         67 |          1        0.10       49.48
         69 |          2        0.21       49.69
         70 |         41        4.26       53.95
         72 |          1        0.10       54.05
         75 |         38        3.95       58.00
         76 |          1        0.10       58.11
         77 |          1        0.10       58.21
         79 |          1        0.10       58.32
         80 |         64        6.65       64.97
         82 |          1        0.10       65.07
         85 |         13        1.35       66.42
         88 |          2        0.21       66.63
         90 |         50        5.20       71.83
         94 |          1        0.10       71.93
         95 |          8        0.83       72.77
         96 |          2        0.21       72.97
         97 |          1        0.10       73.08
         98 |          2        0.21       73.28
         99 |          9        0.94       74.22
        100 |        248       25.78      100.00
------------+-----------------------------------
      Total |        962      100.00
. 
. *Basketball
. tab UTB334_12

  UTB334.12 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        136       14.21       14.21
          1 |         12        1.25       15.46
          2 |          5        0.52       15.99
          3 |          7        0.73       16.72
          4 |          2        0.21       16.93
          5 |         28        2.93       19.85
          6 |          5        0.52       20.38
          7 |          6        0.63       21.00
          8 |          7        0.73       21.73
          9 |          9        0.94       22.68
         10 |         60        6.27       28.94
         12 |          1        0.10       29.05
         15 |          8        0.84       29.89
         19 |          1        0.10       29.99
         20 |         38        3.97       33.96
         21 |          1        0.10       34.06
         25 |         32        3.34       37.41
         30 |         28        2.93       40.33
         32 |          1        0.10       40.44
         33 |          2        0.21       40.65
         35 |          7        0.73       41.38
         40 |         38        3.97       45.35
         43 |          2        0.21       45.56
         45 |          4        0.42       45.98
         50 |        112       11.70       57.68
         52 |          1        0.10       57.78
         54 |          1        0.10       57.89
         55 |          2        0.21       58.10
         59 |          1        0.10       58.20
         60 |         40        4.18       62.38
         65 |         12        1.25       63.64
         68 |          1        0.10       63.74
         69 |          1        0.10       63.85
         70 |         42        4.39       68.23
         75 |         39        4.08       72.31
         76 |          1        0.10       72.41
         77 |          1        0.10       72.52
         78 |          2        0.21       72.73
         79 |          1        0.10       72.83
         80 |         60        6.27       79.10
         83 |          1        0.10       79.21
         85 |         13        1.36       80.56
         87 |          1        0.10       80.67
         88 |          1        0.10       80.77
         89 |          1        0.10       80.88
         90 |         36        3.76       84.64
         95 |          9        0.94       85.58
         98 |          1        0.10       85.68
         99 |          4        0.42       86.10
        100 |        133       13.90      100.00
------------+-----------------------------------
      Total |        957      100.00
. tab UTB334_12, nolab

  UTB334.12 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        136       14.21       14.21
          2 |         12        1.25       15.46
          3 |          5        0.52       15.99
          4 |          7        0.73       16.72
          5 |          2        0.21       16.93
          6 |         28        2.93       19.85
          7 |          5        0.52       20.38
          8 |          6        0.63       21.00
          9 |          7        0.73       21.73
         10 |          9        0.94       22.68
         11 |         60        6.27       28.94
         12 |          1        0.10       29.05
         13 |          8        0.84       29.89
         14 |          1        0.10       29.99
         15 |         38        3.97       33.96
         16 |          1        0.10       34.06
         17 |         32        3.34       37.41
         18 |         28        2.93       40.33
         19 |          1        0.10       40.44
         20 |          2        0.21       40.65
         21 |          7        0.73       41.38
         22 |         38        3.97       45.35
         23 |          2        0.21       45.56
         24 |          4        0.42       45.98
         25 |        112       11.70       57.68
         26 |          1        0.10       57.78
         27 |          1        0.10       57.89
         28 |          2        0.21       58.10
         29 |          1        0.10       58.20
         30 |         40        4.18       62.38
         31 |         12        1.25       63.64
         32 |          1        0.10       63.74
         33 |          1        0.10       63.85
         34 |         42        4.39       68.23
         35 |         39        4.08       72.31
         36 |          1        0.10       72.41
         37 |          1        0.10       72.52
         38 |          2        0.21       72.73
         39 |          1        0.10       72.83
         40 |         60        6.27       79.10
         41 |          1        0.10       79.21
         42 |         13        1.36       80.56
         43 |          1        0.10       80.67
         44 |          1        0.10       80.77
         45 |          1        0.10       80.88
         46 |         36        3.76       84.64
         47 |          9        0.94       85.58
         48 |          1        0.10       85.68
         49 |          4        0.42       86.10
         50 |        133       13.90      100.00
------------+-----------------------------------
      Total |        957      100.00
. decode UTB334_12, gen(bask)
. destring bask, gen(basketball)
bask: all characters numeric; basketball generated as byte
(43 missing values generated)
. *replace basketball=basketball/100
. tab basketball

  UTB334.12 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        136       14.21       14.21
          1 |         12        1.25       15.46
          2 |          5        0.52       15.99
          3 |          7        0.73       16.72
          4 |          2        0.21       16.93
          5 |         28        2.93       19.85
          6 |          5        0.52       20.38
          7 |          6        0.63       21.00
          8 |          7        0.73       21.73
          9 |          9        0.94       22.68
         10 |         60        6.27       28.94
         12 |          1        0.10       29.05
         15 |          8        0.84       29.89
         19 |          1        0.10       29.99
         20 |         38        3.97       33.96
         21 |          1        0.10       34.06
         25 |         32        3.34       37.41
         30 |         28        2.93       40.33
         32 |          1        0.10       40.44
         33 |          2        0.21       40.65
         35 |          7        0.73       41.38
         40 |         38        3.97       45.35
         43 |          2        0.21       45.56
         45 |          4        0.42       45.98
         50 |        112       11.70       57.68
         52 |          1        0.10       57.78
         54 |          1        0.10       57.89
         55 |          2        0.21       58.10
         59 |          1        0.10       58.20
         60 |         40        4.18       62.38
         65 |         12        1.25       63.64
         68 |          1        0.10       63.74
         69 |          1        0.10       63.85
         70 |         42        4.39       68.23
         75 |         39        4.08       72.31
         76 |          1        0.10       72.41
         77 |          1        0.10       72.52
         78 |          2        0.21       72.73
         79 |          1        0.10       72.83
         80 |         60        6.27       79.10
         83 |          1        0.10       79.21
         85 |         13        1.36       80.56
         87 |          1        0.10       80.67
         88 |          1        0.10       80.77
         89 |          1        0.10       80.88
         90 |         36        3.76       84.64
         95 |          9        0.94       85.58
         98 |          1        0.10       85.68
         99 |          4        0.42       86.10
        100 |        133       13.90      100.00
------------+-----------------------------------
      Total |        957      100.00
. 
. *Hockey
. tab UTB334_13

  UTB334.13 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        190       20.02       20.02
          1 |         23        2.42       22.44
          2 |          9        0.95       23.39
          3 |         10        1.05       24.45
          4 |          4        0.42       24.87
          5 |         37        3.90       28.77
          6 |          6        0.63       29.40
          7 |          8        0.84       30.24
          8 |          4        0.42       30.66
          9 |          4        0.42       31.09
         10 |         85        8.96       40.04
         12 |          2        0.21       40.25
         14 |          1        0.11       40.36
         15 |          9        0.95       41.31
         20 |         64        6.74       48.05
         22 |          1        0.11       48.16
         25 |         45        4.74       52.90
         30 |         46        4.85       57.74
         33 |          3        0.32       58.06
         34 |          2        0.21       58.27
         35 |          6        0.63       58.90
         40 |         53        5.58       64.49
         42 |          1        0.11       64.59
         45 |          8        0.84       65.44
         50 |        126       13.28       78.71
         54 |          1        0.11       78.82
         55 |          6        0.63       79.45
         60 |         34        3.58       83.03
         65 |          5        0.53       83.56
         70 |         34        3.58       87.14
         72 |          1        0.11       87.25
         75 |         30        3.16       90.41
         80 |         22        2.32       92.73
         85 |          3        0.32       93.05
         87 |          2        0.21       93.26
         88 |          1        0.11       93.36
         90 |         14        1.48       94.84
         95 |          2        0.21       95.05
         98 |          1        0.11       95.15
         99 |          5        0.53       95.68
        100 |         41        4.32      100.00
------------+-----------------------------------
      Total |        949      100.00
. tab UTB334_13, nolab

  UTB334.13 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        190       20.02       20.02
          2 |         23        2.42       22.44
          3 |          9        0.95       23.39
          4 |         10        1.05       24.45
          5 |          4        0.42       24.87
          6 |         37        3.90       28.77
          7 |          6        0.63       29.40
          8 |          8        0.84       30.24
          9 |          4        0.42       30.66
         10 |          4        0.42       31.09
         11 |         85        8.96       40.04
         12 |          2        0.21       40.25
         13 |          1        0.11       40.36
         14 |          9        0.95       41.31
         15 |         64        6.74       48.05
         16 |          1        0.11       48.16
         17 |         45        4.74       52.90
         18 |         46        4.85       57.74
         19 |          3        0.32       58.06
         20 |          2        0.21       58.27
         21 |          6        0.63       58.90
         22 |         53        5.58       64.49
         23 |          1        0.11       64.59
         24 |          8        0.84       65.44
         25 |        126       13.28       78.71
         26 |          1        0.11       78.82
         27 |          6        0.63       79.45
         28 |         34        3.58       83.03
         29 |          5        0.53       83.56
         30 |         34        3.58       87.14
         31 |          1        0.11       87.25
         32 |         30        3.16       90.41
         33 |         22        2.32       92.73
         34 |          3        0.32       93.05
         35 |          2        0.21       93.26
         36 |          1        0.11       93.36
         37 |         14        1.48       94.84
         38 |          2        0.21       95.05
         39 |          1        0.11       95.15
         40 |          5        0.53       95.68
         41 |         41        4.32      100.00
------------+-----------------------------------
      Total |        949      100.00
. decode UTB334_13, gen(hock)
. destring hock, gen(hockey)
hock: all characters numeric; hockey generated as byte
(51 missing values generated)
. *replace hockey=hockey/100
. tab hockey

  UTB334.13 |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        190       20.02       20.02
          1 |         23        2.42       22.44
          2 |          9        0.95       23.39
          3 |         10        1.05       24.45
          4 |          4        0.42       24.87
          5 |         37        3.90       28.77
          6 |          6        0.63       29.40
          7 |          8        0.84       30.24
          8 |          4        0.42       30.66
          9 |          4        0.42       31.09
         10 |         85        8.96       40.04
         12 |          2        0.21       40.25
         14 |          1        0.11       40.36
         15 |          9        0.95       41.31
         20 |         64        6.74       48.05
         22 |          1        0.11       48.16
         25 |         45        4.74       52.90
         30 |         46        4.85       57.74
         33 |          3        0.32       58.06
         34 |          2        0.21       58.27
         35 |          6        0.63       58.90
         40 |         53        5.58       64.49
         42 |          1        0.11       64.59
         45 |          8        0.84       65.44
         50 |        126       13.28       78.71
         54 |          1        0.11       78.82
         55 |          6        0.63       79.45
         60 |         34        3.58       83.03
         65 |          5        0.53       83.56
         70 |         34        3.58       87.14
         72 |          1        0.11       87.25
         75 |         30        3.16       90.41
         80 |         22        2.32       92.73
         85 |          3        0.32       93.05
         87 |          2        0.21       93.26
         88 |          1        0.11       93.36
         90 |         14        1.48       94.84
         95 |          2        0.21       95.05
         98 |          1        0.11       95.15
         99 |          5        0.53       95.68
        100 |         41        4.32      100.00
------------+-----------------------------------
      Total |        949      100.00
. 
. factor UTB334_* // 2 factors; 6.37 #1, 1.15 #2
(obs=930)

Factor analysis/correlation                      Number of obs    =        930
    Method: principal factors                    Retained factors =          5
    Rotation: (unrotated)                        Number of params =         55

    --------------------------------------------------------------------------
         Factor  |   Eigenvalue   Difference        Proportion   Cumulative
    -------------+------------------------------------------------------------
        Factor1  |      6.26585      5.10771            0.8089       0.8089
        Factor2  |      1.15814      0.37556            0.1495       0.9584
        Factor3  |      0.78258      0.54620            0.1010       1.0595
        Factor4  |      0.23638      0.18530            0.0305       1.0900
        Factor5  |      0.05107      0.06157            0.0066       1.0966
        Factor6  |     -0.01050      0.02473           -0.0014       1.0952
        Factor7  |     -0.03523      0.02623           -0.0045       1.0907
        Factor8  |     -0.06146      0.01582           -0.0079       1.0827
        Factor9  |     -0.07729      0.02950           -0.0100       1.0728
       Factor10  |     -0.10679      0.02105           -0.0138       1.0590
       Factor11  |     -0.12784      0.02053           -0.0165       1.0425
       Factor12  |     -0.14837      0.03228           -0.0192       1.0233
       Factor13  |     -0.18065            .           -0.0233       1.0000
    --------------------------------------------------------------------------
    LR test: independent vs. saturated:  chi2(78) = 7746.13 Prob>chi2 = 0.0000

Factor loadings (pattern matrix) and unique variances

    -------------------------------------------------------------------------------
        Variable |  Factor1   Factor2   Factor3   Factor4   Factor5 |   Uniqueness 
    -------------+--------------------------------------------------+--------------
        UTB334_1 |   0.6828   -0.3026    0.1562    0.2572   -0.0132 |      0.3515  
        UTB334_2 |   0.7534   -0.0388    0.3426    0.0578   -0.0768 |      0.3043  
        UTB334_3 |   0.6663   -0.3620    0.0518    0.2274    0.0221 |      0.3701  
        UTB334_4 |   0.5885    0.5513    0.0443    0.0854    0.0493 |      0.3380  
        UTB334_5 |   0.5385    0.4787   -0.1021    0.0383   -0.0061 |      0.4689  
        UTB334_6 |   0.7218   -0.0309    0.2495   -0.1735    0.0705 |      0.3807  
        UTB334_7 |   0.8176   -0.1450   -0.0925   -0.0524    0.0523 |      0.2965  
        UTB334_8 |   0.7232   -0.1919    0.2345   -0.1757    0.0354 |      0.3531  
        UTB334_9 |   0.7287    0.1483    0.2661   -0.1525   -0.0781 |      0.3468  
       UTB334_10 |   0.5325    0.5342   -0.0113    0.1150    0.0179 |      0.4174  
       UTB334_11 |   0.7493   -0.1605   -0.3599   -0.0276    0.0931 |      0.2738  
       UTB334_12 |   0.7756   -0.0736   -0.4381   -0.0518   -0.0351 |      0.1972  
       UTB334_13 |   0.6795   -0.0598   -0.3280   -0.0526   -0.1295 |      0.4076  
    -------------------------------------------------------------------------------
. 
. factor cowboys country truck diverse hoods history baseball armed national ///
> immigrant football basketball hockey // 2 factors; 6.31 #1, 1.15 #2
(obs=930)

Factor analysis/correlation                      Number of obs    =        930
    Method: principal factors                    Retained factors =          5
    Rotation: (unrotated)                        Number of params =         55

    --------------------------------------------------------------------------
         Factor  |   Eigenvalue   Difference        Proportion   Cumulative
    -------------+------------------------------------------------------------
        Factor1  |      6.30767      5.15991            0.8102       0.8102
        Factor2  |      1.14776      0.38728            0.1474       0.9576
        Factor3  |      0.76048      0.51749            0.0977       1.0552
        Factor4  |      0.24299      0.17108            0.0312       1.0865
        Factor5  |      0.07191      0.07860            0.0092       1.0957
        Factor6  |     -0.00669      0.03654           -0.0009       1.0948
        Factor7  |     -0.04323      0.00507           -0.0056       1.0893
        Factor8  |     -0.04830      0.02652           -0.0062       1.0831
        Factor9  |     -0.07482      0.03425           -0.0096       1.0735
       Factor10  |     -0.10907      0.02522           -0.0140       1.0595
       Factor11  |     -0.13429      0.01552           -0.0172       1.0422
       Factor12  |     -0.14980      0.02902           -0.0192       1.0230
       Factor13  |     -0.17883            .           -0.0230       1.0000
    --------------------------------------------------------------------------
    LR test: independent vs. saturated:  chi2(78) = 7806.83 Prob>chi2 = 0.0000

Factor loadings (pattern matrix) and unique variances

    -------------------------------------------------------------------------------
        Variable |  Factor1   Factor2   Factor3   Factor4   Factor5 |   Uniqueness 
    -------------+--------------------------------------------------+--------------
         cowboys |   0.6812   -0.3126   -0.1487    0.2617    0.0068 |      0.3477  
         country |   0.7577   -0.0468   -0.3354    0.0655    0.0839 |      0.2999  
           truck |   0.6678   -0.3593   -0.0536    0.2255   -0.0230 |      0.3706  
         diverse |   0.5986    0.5468   -0.0376    0.0822   -0.0541 |      0.3316  
           hoods |   0.5383    0.4759    0.0952    0.0397    0.0256 |      0.4725  
         history |   0.7278   -0.0250   -0.2397   -0.1858   -0.0703 |      0.3727  
        baseball |   0.8122   -0.1540    0.0948   -0.0581   -0.0706 |      0.2993  
           armed |   0.7276   -0.1879   -0.2325   -0.1843   -0.0314 |      0.3463  
        national |   0.7439    0.1477   -0.2631   -0.1407    0.0920 |      0.3273  
       immigrant |   0.5447    0.5283    0.0070    0.1185   -0.0419 |      0.4083  
        football |   0.7591   -0.1535    0.3517   -0.0401   -0.1110 |      0.2625  
      basketball |   0.7728   -0.0781    0.4384   -0.0467    0.0390 |      0.2008  
          hockey |   0.6581   -0.0547    0.3269   -0.0394    0.1605 |      0.4297  
    -------------------------------------------------------------------------------
. 
. 
. // Factor 1 (all above cut off but limited by Factor)
. factor cowboys country truck history armed
(obs=948)

Factor analysis/correlation                      Number of obs    =        948
    Method: principal factors                    Retained factors =          2
    Rotation: (unrotated)                        Number of params =          9

    --------------------------------------------------------------------------
         Factor  |   Eigenvalue   Difference        Proportion   Cumulative
    -------------+------------------------------------------------------------
        Factor1  |      2.89147      2.68849            1.0562       1.0562
        Factor2  |      0.20298      0.25112            0.0741       1.1304
        Factor3  |     -0.04814      0.08551           -0.0176       1.1128
        Factor4  |     -0.13365      0.04151           -0.0488       1.0640
        Factor5  |     -0.17515            .           -0.0640       1.0000
    --------------------------------------------------------------------------
    LR test: independent vs. saturated:  chi2(10) = 2414.56 Prob>chi2 = 0.0000

Factor loadings (pattern matrix) and unique variances

    -------------------------------------------------
        Variable |  Factor1   Factor2 |   Uniqueness 
    -------------+--------------------+--------------
         cowboys |   0.7662   -0.2413 |      0.3548  
         country |   0.7984    0.0609 |      0.3589  
           truck |   0.7394   -0.2318 |      0.3995  
         history |   0.7261    0.2384 |      0.4159  
           armed |   0.7701    0.1746 |      0.3765  
    -------------------------------------------------
. alpha cowboys country truck history armed, gen(factor1) // Eigen 2.89; .88 Alpha

Test scale = mean(unstandardized items)

Average interitem covariance:     782.3417
Number of items in the scale:            5
Scale reliability coefficient:      0.8756
. sum factor1

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     factor1 |        973    60.04878    30.22402          0        100
. hist factor1
(bin=29, start=0, width=3.4482759)
. lab var factor1 "Traditional"
. 
. // Factor 2 (above cut off of .4)
. factor diverse hoods national immigrant // Diverse mix, alternative neighborhoods, national parks, immigrants
(obs=947)

Factor analysis/correlation                      Number of obs    =        947
    Method: principal factors                    Retained factors =          1
    Rotation: (unrotated)                        Number of params =          4

    --------------------------------------------------------------------------
         Factor  |   Eigenvalue   Difference        Proportion   Cumulative
    -------------+------------------------------------------------------------
        Factor1  |      2.15235      2.20610            1.1636       1.1636
        Factor2  |     -0.05375      0.04012           -0.0291       1.1345
        Factor3  |     -0.09387      0.06104           -0.0507       1.0837
        Factor4  |     -0.15492            .           -0.0837       1.0000
    --------------------------------------------------------------------------
    LR test: independent vs. saturated:  chi2(6)  = 1486.75 Prob>chi2 = 0.0000

Factor loadings (pattern matrix) and unique variances

    ---------------------------------------
        Variable |  Factor1 |   Uniqueness 
    -------------+----------+--------------
         diverse |   0.8179 |      0.3310  
           hoods |   0.7127 |      0.4920  
        national |   0.6124 |      0.6250  
       immigrant |   0.7748 |      0.3997  
    ---------------------------------------
. alpha diverse hoods national immigrant, gen(factor2) // Eigen 2.15, .83 Alpha

Test scale = mean(unstandardized items)

Average interitem covariance:     663.0804
Number of items in the scale:            4
Scale reliability coefficient:      0.8328
. sum factor2

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     factor2 |        974    55.00616    28.37029          0        100
. hist factor2
(bin=29, start=0, width=3.4482759)
. lab var factor2 "Experiences"
. 
. // Factor 3 (Sports only)
. factor baseball football basketball hockey
(obs=945)

Factor analysis/correlation                      Number of obs    =        945
    Method: principal factors                    Retained factors =          2
    Rotation: (unrotated)                        Number of params =          6

    --------------------------------------------------------------------------
         Factor  |   Eigenvalue   Difference        Proportion   Cumulative
    -------------+------------------------------------------------------------
        Factor1  |      2.66195      2.65173            1.0796       1.0796
        Factor2  |      0.01023      0.07911            0.0041       1.0837
        Factor3  |     -0.06888      0.06863           -0.0279       1.0558
        Factor4  |     -0.13751            .           -0.0558       1.0000
    --------------------------------------------------------------------------
    LR test: independent vs. saturated:  chi2(6)  = 2344.33 Prob>chi2 = 0.0000

Factor loadings (pattern matrix) and unique variances

    -------------------------------------------------
        Variable |  Factor1   Factor2 |   Uniqueness 
    -------------+--------------------+--------------
        baseball |   0.7757   -0.0373 |      0.3968  
        football |   0.8487   -0.0543 |      0.2768  
      basketball |   0.8920    0.0238 |      0.2037  
          hockey |   0.7377    0.0729 |      0.4505  
    -------------------------------------------------
. alpha baseball football basketball hockey, gen(factor3) // Eigen 2.66; .89 Alpha

Test scale = mean(unstandardized items)

Average interitem covariance:     844.9941
Number of items in the scale:            4
Scale reliability coefficient:      0.8924
. sum factor3

    Variable |        Obs        Mean    Std. dev.       Min        Max
-------------+---------------------------------------------------------
     factor3 |        966    49.29814    30.80208          0        100
. hist factor3
(bin=29, start=0, width=3.4482759)
. lab var factor3 "Sports"
. }

. *Demographics
. {
. *Age
. tab birthyr

    birthyr |      Freq.     Percent        Cum.
------------+-----------------------------------
       1930 |          4        0.40        0.40
       1931 |          3        0.30        0.70
       1932 |          1        0.10        0.80
       1933 |          3        0.30        1.10
       1934 |          2        0.20        1.30
       1935 |          1        0.10        1.40
       1936 |          5        0.50        1.90
       1937 |          9        0.90        2.80
       1938 |          9        0.90        3.70
       1939 |          8        0.80        4.50
       1940 |          7        0.70        5.20
       1941 |          4        0.40        5.60
       1942 |         14        1.40        7.00
       1943 |         13        1.30        8.30
       1944 |          8        0.80        9.10
       1945 |          8        0.80        9.90
       1946 |         13        1.30       11.20
       1947 |         11        1.10       12.30
       1948 |         14        1.40       13.70
       1949 |         14        1.40       15.10
       1950 |          9        0.90       16.00
       1951 |         18        1.80       17.80
       1952 |         17        1.70       19.50
       1953 |         21        2.10       21.60
       1954 |         16        1.60       23.20
       1955 |         19        1.90       25.10
       1956 |         13        1.30       26.40
       1957 |         14        1.40       27.80
       1958 |         20        2.00       29.80
       1959 |         15        1.50       31.30
       1960 |         19        1.90       33.20
       1961 |         18        1.80       35.00
       1962 |         22        2.20       37.20
       1963 |         22        2.20       39.40
       1964 |         25        2.50       41.90
       1965 |         18        1.80       43.70
       1966 |         15        1.50       45.20
       1967 |         23        2.30       47.50
       1968 |         16        1.60       49.10
       1969 |         11        1.10       50.20
       1970 |         26        2.60       52.80
       1971 |         13        1.30       54.10
       1972 |          6        0.60       54.70
       1973 |          5        0.50       55.20
       1974 |         12        1.20       56.40
       1975 |         14        1.40       57.80
       1976 |         16        1.60       59.40
       1977 |         14        1.40       60.80
       1978 |         13        1.30       62.10
       1979 |         28        2.80       64.90
       1980 |         18        1.80       66.70
       1981 |         11        1.10       67.80
       1982 |         19        1.90       69.70
       1983 |         12        1.20       70.90
       1984 |         20        2.00       72.90
       1985 |         12        1.20       74.10
       1986 |         13        1.30       75.40
       1987 |         19        1.90       77.30
       1988 |         21        2.10       79.40
       1989 |         20        2.00       81.40
       1990 |         32        3.20       84.60
       1991 |         22        2.20       86.80
       1992 |         26        2.60       89.40
       1993 |         12        1.20       90.60
       1994 |          9        0.90       91.50
       1995 |         21        2.10       93.60
       1996 |         13        1.30       94.90
       1997 |         15        1.50       96.40
       1998 |         13        1.30       97.70
       1999 |         12        1.20       98.90
       2000 |         11        1.10      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. gen age=2018-birthyr
. *replace age=(age-18)/(88-18)
. tab age,m

        age |      Freq.     Percent        Cum.
------------+-----------------------------------
         18 |         11        1.10        1.10
         19 |         12        1.20        2.30
         20 |         13        1.30        3.60
         21 |         15        1.50        5.10
         22 |         13        1.30        6.40
         23 |         21        2.10        8.50
         24 |          9        0.90        9.40
         25 |         12        1.20       10.60
         26 |         26        2.60       13.20
         27 |         22        2.20       15.40
         28 |         32        3.20       18.60
         29 |         20        2.00       20.60
         30 |         21        2.10       22.70
         31 |         19        1.90       24.60
         32 |         13        1.30       25.90
         33 |         12        1.20       27.10
         34 |         20        2.00       29.10
         35 |         12        1.20       30.30
         36 |         19        1.90       32.20
         37 |         11        1.10       33.30
         38 |         18        1.80       35.10
         39 |         28        2.80       37.90
         40 |         13        1.30       39.20
         41 |         14        1.40       40.60
         42 |         16        1.60       42.20
         43 |         14        1.40       43.60
         44 |         12        1.20       44.80
         45 |          5        0.50       45.30
         46 |          6        0.60       45.90
         47 |         13        1.30       47.20
         48 |         26        2.60       49.80
         49 |         11        1.10       50.90
         50 |         16        1.60       52.50
         51 |         23        2.30       54.80
         52 |         15        1.50       56.30
         53 |         18        1.80       58.10
         54 |         25        2.50       60.60
         55 |         22        2.20       62.80
         56 |         22        2.20       65.00
         57 |         18        1.80       66.80
         58 |         19        1.90       68.70
         59 |         15        1.50       70.20
         60 |         20        2.00       72.20
         61 |         14        1.40       73.60
         62 |         13        1.30       74.90
         63 |         19        1.90       76.80
         64 |         16        1.60       78.40
         65 |         21        2.10       80.50
         66 |         17        1.70       82.20
         67 |         18        1.80       84.00
         68 |          9        0.90       84.90
         69 |         14        1.40       86.30
         70 |         14        1.40       87.70
         71 |         11        1.10       88.80
         72 |         13        1.30       90.10
         73 |          8        0.80       90.90
         74 |          8        0.80       91.70
         75 |         13        1.30       93.00
         76 |         14        1.40       94.40
         77 |          4        0.40       94.80
         78 |          7        0.70       95.50
         79 |          8        0.80       96.30
         80 |          9        0.90       97.20
         81 |          9        0.90       98.10
         82 |          5        0.50       98.60
         83 |          1        0.10       98.70
         84 |          2        0.20       98.90
         85 |          3        0.30       99.20
         86 |          1        0.10       99.30
         87 |          3        0.30       99.60
         88 |          4        0.40      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var age "Age"
. 
. *Education
. tab educ

                educ |      Freq.     Percent        Cum.
---------------------+-----------------------------------
               No HS |         39        3.90        3.90
High school graduate |        273       27.30       31.20
        Some college |        223       22.30       53.50
              2-year |         89        8.90       62.40
              4-year |        234       23.40       85.80
           Post-grad |        142       14.20      100.00
---------------------+-----------------------------------
               Total |      1,000      100.00
. recode educ 1/2=1 3/4=2 5=3 6=4, gen(education)
(961 differences between educ and education)
. *replace education=(education-1)/3
. tab education,m

  RECODE of |
educ (educ) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        312       31.20       31.20
          2 |        312       31.20       62.40
          3 |        234       23.40       85.80
          4 |        142       14.20      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var education "Education"
. 
. *Income
. tab faminc,m

         faminc.new |      Freq.     Percent        Cum.
--------------------+-----------------------------------
  Less than $10,000 |         45        4.50        4.50
  $10,000 - $19,999 |         82        8.20       12.70
  $20,000 - $29,999 |         91        9.10       21.80
  $30,000 - $39,999 |         95        9.50       31.30
  $40,000 - $49,999 |         86        8.60       39.90
  $50,000 - $59,999 |         89        8.90       48.80
  $60,000 - $69,999 |         67        6.70       55.50
  $70,000 - $79,999 |         80        8.00       63.50
  $80,000 - $99,999 |         86        8.60       72.10
$100,000 - $119,999 |         56        5.60       77.70
$120,000 - $149,999 |         59        5.90       83.60
$150,000 - $199,999 |         41        4.10       87.70
$200,000 - $249,999 |         10        1.00       88.70
$250,000 - $349,999 |         13        1.30       90.00
$350,000 - $499,999 |          4        0.40       90.40
   $500,000 or more |          3        0.30       90.70
  Prefer not to say |         89        8.90       99.60
                  . |          4        0.40      100.00
--------------------+-----------------------------------
              Total |      1,000      100.00
. tab faminc, nolab

 faminc.new |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |         45        4.52        4.52
          2 |         82        8.23       12.75
          3 |         91        9.14       21.89
          4 |         95        9.54       31.43
          5 |         86        8.63       40.06
          6 |         89        8.94       49.00
          7 |         67        6.73       55.72
          8 |         80        8.03       63.76
          9 |         86        8.63       72.39
         10 |         56        5.62       78.01
         11 |         59        5.92       83.94
         12 |         41        4.12       88.05
         13 |         10        1.00       89.06
         14 |         13        1.31       90.36
         15 |          4        0.40       90.76
         16 |          3        0.30       91.06
         17 |         89        8.94      100.00
------------+-----------------------------------
      Total |        996      100.00
. recode faminc 17=., gen(income)
(89 differences between faminc_new and income)
. lab var income "Income"
. 
. *Female
. tab gender

     gender |      Freq.     Percent        Cum.
------------+-----------------------------------
       Male |        418       41.80       41.80
     Female |        582       58.20      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. recode gender 1=0 2=1, gen(female)
(1,000 differences between gender and female)
. tab female

  RECODE of |
     gender |
   (gender) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        418       41.80       41.80
          1 |        582       58.20      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var female "Female"
. 
. *Race
. tab race hispanic,m

                |       hispanic
           race |       Yes         No |     Total
----------------+----------------------+----------
          White |        15        752 |       767 
          Black |         3         76 |        79 
       Hispanic |         1         80 |        81 
          Asian |         1         26 |        27 
Native American |         2          6 |         8 
          Mixed |         9         17 |        26 
          Other |         0         11 |        11 
 Middle Eastern |         0          1 |         1 
----------------+----------------------+----------
          Total |        31        969 |     1,000 
. replace race=3 if hispanic==1
(30 real changes made)
. recode race 4/8=4
(35 changes made to race)
. lab var race "Race/Ethnicity"
. lab define racel1 1 "White" 2 "Black" 3"Latino" 4"Other"
. lab value race racel1
. tab race

Race/Ethnic |
        ity |      Freq.     Percent        Cum.
------------+-----------------------------------
      White |        752       75.20       75.20
      Black |         76        7.60       82.80
     Latino |        111       11.10       93.90
      Other |         61        6.10      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. 
. *White/Non-White
. recode race 1=1 else=0, gen(white)
(248 differences between race and white)
. tab white

  RECODE of |
       race |
(Race/Ethni |
      city) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        248       24.80       24.80
          1 |        752       75.20      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var white "White"
. lab define white1 0 "Non-White" 1 "White"
. lab value white white1
. tab white

      White |      Freq.     Percent        Cum.
------------+-----------------------------------
  Non-White |        248       24.80       24.80
      White |        752       75.20      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. 
. *PID
. tab pid7,m

                      pid7 |      Freq.     Percent        Cum.
---------------------------+-----------------------------------
           Strong Democrat |        213       21.30       21.30
  Not very strong Democrat |        122       12.20       33.50
             Lean Democrat |         99        9.90       43.40
               Independent |        135       13.50       56.90
           Lean Republican |        120       12.00       68.90
Not very strong Republican |         94        9.40       78.30
         Strong Republican |        180       18.00       96.30
                  Not sure |         35        3.50       99.80
                         . |          2        0.20      100.00
---------------------------+-----------------------------------
                     Total |      1,000      100.00
. tab pid7, nolab

       pid7 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        213       21.34       21.34
          2 |        122       12.22       33.57
          3 |         99        9.92       43.49
          4 |        135       13.53       57.01
          5 |        120       12.02       69.04
          6 |         94        9.42       78.46
          7 |        180       18.04       96.49
          8 |         35        3.51      100.00
------------+-----------------------------------
      Total |        998      100.00
. recode pid7 8=., gen (pid)
(35 differences between pid7 and pid)
. lab var pid "Party ID"
. 
. *3-PID: 37 "Not Sure" and missing coded as Independent
. drop pid3
. recode pid7 1/3=1 4=2 5/7=3 8=2 .=2, gen(pid3)
(787 differences between pid7 and pid3)
. tab pid pid3,m

           |      RECODE of pid7 (pid7)
  Party ID |         1          2          3 |     Total
-----------+---------------------------------+----------
         1 |       213          0          0 |       213 
         2 |       122          0          0 |       122 
         3 |        99          0          0 |        99 
         4 |         0        135          0 |       135 
         5 |         0          0        120 |       120 
         6 |         0          0         94 |        94 
         7 |         0          0        180 |       180 
         . |         0         37          0 |        37 
-----------+---------------------------------+----------
     Total |       434        172        394 |     1,000 
. lab var pid3 "Part ID"
. lab def pid32 1"Democrat" 2"Independent" 3"Republican"
. lab val pid3 pid32
. recode pid3 3=1 else=0, gen(rep)
(1,000 differences between pid3 and rep)
. tab rep

  RECODE of |
 pid3 (Part |
        ID) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        606       60.60       60.60
          1 |        394       39.40      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var rep "Republican"
. 
. *Ideology
. tab ideo5,m

            ideo5 |      Freq.     Percent        Cum.
------------------+-----------------------------------
     Very liberal |        122       12.20       12.20
          Liberal |        187       18.70       30.90
         Moderate |        294       29.40       60.30
     Conservative |        193       19.30       79.60
Very conservative |        133       13.30       92.90
         Not sure |         64        6.40       99.30
                . |          7        0.70      100.00
------------------+-----------------------------------
            Total |      1,000      100.00
. tab ideo5, nolab

      ideo5 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        122       12.29       12.29
          2 |        187       18.83       31.12
          3 |        294       29.61       60.73
          4 |        193       19.44       80.16
          5 |        133       13.39       93.55
          6 |         64        6.45      100.00
------------+-----------------------------------
      Total |        993      100.00
. recode ideo5 6=., gen(ideology)
(64 differences between ideo5 and ideology)
. tab ideology

  RECODE of |
      ideo5 |
    (ideo5) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        122       13.13       13.13
          2 |        187       20.13       33.26
          3 |        294       31.65       64.91
          4 |        193       20.78       85.68
          5 |        133       14.32      100.00
------------+-----------------------------------
      Total |        929      100.00
. lab var ideology "Political Ideology"
. 
. recode ideology 4/5=1 else=0, gen(conservative)
(1,000 differences between ideology and conservative)
. tab conservative

  RECODE of |
   ideology |
 (Political |
  Ideology) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        674       67.40       67.40
          1 |        326       32.60      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var conservative "Conservative"
. lab define conservative1 0 "Non-Conservative" 1 "Conservative"
. lab value conservative conservative1
. tab conservative

    Conservative |      Freq.     Percent        Cum.
-----------------+-----------------------------------
Non-Conservative |        674       67.40       67.40
    Conservative |        326       32.60      100.00
-----------------+-----------------------------------
           Total |      1,000      100.00
. 
. *Ideology
. recode ideology 1/2=1 3=2 4/5=3, gen(ideo3)
(807 differences between ideology and ideo3)
. tab ideo3

  RECODE of |
   ideology |
 (Political |
  Ideology) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        309       33.26       33.26
          2 |        294       31.65       64.91
          3 |        326       35.09      100.00
------------+-----------------------------------
      Total |        929      100.00
. 
. *Political News Interest
. tab newsint

          newsint |      Freq.     Percent        Cum.
------------------+-----------------------------------
 Most of the time |        527       52.86       52.86
 Some of the time |        238       23.87       76.73
Only now and then |        128       12.84       89.57
    Hardly at all |         76        7.62       97.19
       Don't know |         28        2.81      100.00
------------------+-----------------------------------
            Total |        997      100.00
. recode newsint 1=4 2=3 3=2 4=1 5=1, gen(interest)
(997 differences between newsint and interest)
. tab interest

  RECODE of |
    newsint |
  (newsint) |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        104       10.43       10.43
          2 |        128       12.84       23.27
          3 |        238       23.87       47.14
          4 |        527       52.86      100.00
------------+-----------------------------------
      Total |        997      100.00
. lab var interest "Political Attention"
. 
. *Vote for President 2016
. tab CC18_317

                           CC18.317 |      Freq.     Percent        Cum.
------------------------------------+-----------------------------------
                       Donald Trump |        346       43.80       43.80
                    Hillary Clinton |        348       44.05       87.85
                       Someone else |         82       10.38       98.23
I did not cast a vote for president |         10        1.27       99.49
                     I don't recall |          4        0.51      100.00
------------------------------------+-----------------------------------
                              Total |        790      100.00
. recode CC18_317 1=1 2=0 else=., gen(trump)
(444 differences between CC18_317 and trump)
. 
. *Congressional vote
. tab CC18_412

                            CC18.412 |      Freq.     Percent        Cum.
-------------------------------------+-----------------------------------
  $HouseCand1Name ($HouseCand1Party) |        332       51.88       51.88
  $HouseCand2Name ($HouseCand2Party) |        266       41.56       93.44
  $HouseCand3Name ($HouseCand3Party) |          6        0.94       94.38
  $HouseCand4Name ($HouseCand4Party) |          1        0.16       94.53
                               Other |         11        1.72       96.25
         I did not vote in this race |         18        2.81       99.06
                            Not sure |          6        0.94      100.00
-------------------------------------+-----------------------------------
                               Total |        640      100.00
. recode CC18_412 2=1 1=0 else=.,gen(republican)
(640 differences between CC18_412 and republican)
. tab republican

  RECODE of |
   CC18_412 |
 (CC18.412) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        332       55.52       55.52
          1 |        266       44.48      100.00
------------+-----------------------------------
      Total |        598      100.00
. 
. *Border Security spending ($25 million) + Wall between US/Mexico
. tab CC18_322a

  CC18.322a |      Freq.     Percent        Cum.
------------+-----------------------------------
    Support |        441       44.41       44.41
     Oppose |        552       55.59      100.00
------------+-----------------------------------
      Total |        993      100.00
. recode CC18_322a 1=1 2=0, gen(wall)
(552 differences between CC18_322a and wall)
. tab wall

  RECODE of |
  CC18_322a |
(CC18.322a) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        552       55.59       55.59
          1 |        441       44.41      100.00
------------+-----------------------------------
      Total |        993      100.00
. 
. *Religiousness
. tab religpew, nolab

   religpew |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        346       34.74       34.74
          2 |        187       18.78       53.51
          3 |          6        0.60       54.12
          4 |          8        0.80       54.92
          5 |         25        2.51       57.43
          6 |          7        0.70       58.13
          7 |          7        0.70       58.84
          8 |          5        0.50       59.34
          9 |         65        6.53       65.86
         10 |         64        6.43       72.29
         11 |        215       21.59       93.88
         12 |         61        6.12      100.00
------------+-----------------------------------
      Total |        996      100.00
. recode religpew 9/11=0 else=1, gen(religious)
(654 differences between religpew and religious)
. tab religious

  RECODE of |
   religpew |
 (religpew) |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        344       34.40       34.40
          1 |        656       65.60      100.00
------------+-----------------------------------
      Total |      1,000      100.00
. lab var religious "Religious"
. lab define religious1 0 "Non-Religious" 1 "Religious"
. lab value religious religious1
. tab religious

    Religious |      Freq.     Percent        Cum.
--------------+-----------------------------------
Non-Religious |        344       34.40       34.40
    Religious |        656       65.60      100.00
--------------+-----------------------------------
        Total |      1,000      100.00
. 
. }

. 
. **Figure 1: "US: Frame Clusterings"
. 
. graph bar (mean) factor1 factor2 factor3 [pweight=teamweight], ysc(r(1) ///
> titleg(1)) ylab(0(25)100) blabel(bar, position(center) format(%4.0g) size(3) ///
> color(white)) title(US: Frame Clusterings) bargap(30) ///
> legend(label(1 "Traditional Frames") label(2 "Experiences Frames") ///
> label(3 "Sports Frames") size(3) rowgap(*.45) pos(6) rows(1) ///
> region(style(legend) fcolor(gs15) margin(medsmall)) colgap(*.75) ///
> symxsize(*.75) keygap(*.33)) ytitle(thermometer) note("Factor 1 Eigenvalue: Cultural (2.89), Experiences (2.15), Sports (2.66)" "Scale Reliabili
> ty: Cultural (.82), Sports (.89), Experiences (.83). Source: 2018 CCES (UT Austin)" , size(3) pos(6))

. graph save cluster1.gph, replace        
file cluster1.gph saved

. 
. 
. *Figure 2: "US: Cultural Frames"
. 
. graph bar (mean) history armed country truck cowboys [pweight=teamweight], ///
> title(Aggregate) ysc(r(1) titleg(1)) ylab(0(25)100) ///
> blabel(bar, position(center) ///
> format(%4.0g) size(3) color(white)) bargap(30) legend(label(1 "American history") ///
> label(2 "The armed forces") label(3 "The american countryside") ///
> label(4 "Pickup trucks") label(5 "Cowboys") size(2.5) rowgap(*.45) pos(6) rows(2) ///
> region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(thermometer)

. graph save cultural1.gph, replace       
file cultural1.gph saved

.         
.         *Cultural*Race
.         graph bar (mean) history armed country truck cowboys ///
>         [pweight=teamweight], over(white) title(Race) ysc(r(1) ///
>         titleg(1)) ylab(0(25)100) blabel(bar, position(center) ///
>         format(%4.0g) size(3) color(white)) bargap(-15) ///
>         legend(label(1 "American history") label(2 "The armed forces") ///
>         label(3 "The american countryside") label(4 "Pickup trucks") ///
>         label(5 "Cowboys") size(2.5) rowgap(*.45) pos(6) rows(2) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(thermometer)

.         graph save cultural2.gph, replace
file cultural2.gph saved

.         
.         *Cultural*Ideology
.         graph bar (mean) history armed country truck cowboys ///
>         [pweight=teamweight], over(conservative) title(Ideology) ///
>         ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, position(center) ///
>         format(%4.0g) size(3) color(white)) bargap(-15) ytitle(thermometer) ///
>         legend(label(1 "American history") label(2 "The armed forces") ///
>         label(3 "The american countryside") label(4 "Pickup trucks") ///
>         label(5 "Cowboys") size(2.5) rowgap(*.45) pos(6) rows(2))

.         graph save cultural3.gph, replace
file cultural3.gph saved

.         
.         *Cultural*Religion
.         graph bar (mean) history armed country truck cowboys ///
>         [pweight=teamweight], over(religious) title(Religiosity) ///
>         ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, position(center) ///
>         format(%4.0g) size(3) color(white)) bargap(-15) ///
>         legend(label(1 "American history") label(2 "The armed forces") ///
>         label(3 "The american countryside") label(4 "Pickup trucks") ///
>         label(5 "Cowboys") size(2.5) rowgap(*.45) pos(6) rows(2) ///
>         region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(thermometer)

.         graph save cultural4.gph, replace
file cultural4.gph saved

.         
.         grc1leg cultural1.gph cultural2.gph cultural3.gph cultural4.gph, ycommon ///
>         col(2) title("US: Cultural Frames") note("Source: 2018 CCES (UT Austin)" ///
>         , pos(6))

. 
.         
. **Figure 3: "Cultural Frames: Mean scores by Party ID"
.         
. *Cultural*Partisanship
. graph bar (mean) history armed country truck cowboys ///
> [pweight=teamweight], over(pid3) title(Cultural Frames) subtitle("Mean scores by Party ID") ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, posit
> ion(center) ///
> format(%4.0g) size(3) color(white)) bargap(-15) ytitle(thermometer) ///
> legend(label(1 "American history") label(2 "The armed forces") ///
> label(3 "The american countryside") label(4 "Pickup trucks") ///
> label(5 "Cowboys") size(2.5) rowgap(*.45) pos(6) rows(2)) ///
> note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save cultural5.gph, replace       
file cultural5.gph saved

.         
. 
. **Figure 4: US: Experiences Frames
.         
. *Experiences
. graph bar (mean) national diverse immigrant hoods [pweight=teamweight], ///
> title(Aggregate) ysc(r(1) titleg(1)) ylab(0(25)100) ///
> blabel(bar, position(center) format(%4.0g) size(3) color(white)) bargap(30) ///
> legend(label(1 "National Parks") label(2 "Diverse mix of groups") ///
> label(3 "Immigrants") label(4 "Alternative neighborhoods") size(2.5) ///
> rowgap(*.45) pos(6) rows(2) region(style(legend) fcolor(gs15) ///
> margin(medsmall))) ytitle(thermometer)

. graph save experiences1.gph, replace    
file experiences1.gph saved

. 
.         *Experiences*Race
.         graph bar (mean) national diverse immigrant hoods [pweight=teamweight], ///
>         over(white) title(Race) ysc(r(1) titleg(1)) ylab(0(25)100) ///
>         blabel(bar, position(center) format(%4.0g) size(3) color(white)) ///
>         bargap(-15) legend(label(1 "National Parks") ///
>         label(2 "Diverse mix of groups") label(3 "Immigrants") ///
>         label(4 "Alternative neighborhoods") size(2.5) rowgap(*.45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(thermometer)

.         graph save experiences2.gph, replace    
file experiences2.gph saved

.         
.         *Experiences*Ideology
.         graph bar (mean) national diverse immigrant hoods [pweight=teamweight], ///
>         over(conservative) title(Ideology) ysc(r(1) titleg(1)) ylab(0(25)100) ///
>         blabel(bar, position(center) format(%4.0g) size(3) color(white)) ///
>         bargap(-15) legend(label(1 "National Parks") ///
>         label(2 "Diverse mix of groups") label(3 "Immigrants") ///
>         label(4 "Alternative neighborhoods") size(2.5) rowgap(*.45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(thermometer)

.         graph save experiences3.gph, replace            
file experiences3.gph saved

. 
.         *Experiences*Religious
.         graph bar (mean) national diverse immigrant hoods [pweight=teamweight], ///
>         over(religious) title(Religiosity) ysc(r(1) titleg(1)) ylab(0(25)100) ///
>         blabel(bar, position(center) format(%4.0g) size(3) color(white)) ///
>         bargap(-15) legend(label(1 "National Parks") ///
>         label(2 "Diverse mix of groups") label(3 "Immigrants") ///
>         label(4 "Alternative neighborhoods") size(2.5) rowgap(*.45) pos(6) ///
>         rows(2) region(style(legend) fcolor(gs15) margin(medsmall))) ///
>         ytitle(thermometer)

.         graph save experiences4.gph, replace    
file experiences4.gph saved

.         
.         grc1leg experiences1.gph experiences2.gph experiences3.gph ///
>         experiences4.gph, ycommon col(2) title("US: Experiences Frames") ///
>         note("Source: 2018 CCES (UT Austin)", pos(6))

. 
. 
. **Figure 5: "Experiences Frames"
. 
. *Experiences*Ideology
. graph bar (mean) national diverse immigrant hoods [pweight=teamweight], ///
> over(pid3) title(Experience Frames) subtitle("Mean scores by Party ID") ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, position(center) format(%
> 4.0g) size(3) color(white)) bargap(-15) legend(label(1 "National Parks") ///
> label(2 "Diverse mix of groups") label(3 "Immigrants") ///
> label(4 "Alternative neighborhoods") size(2.5) rowgap(*.45) pos(6) ///
> rows(2) region(style(legend) fcolor(gs15) margin(medsmall))) ///
> ytitle(thermometer) note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save experiences5.gph, replace
file experiences5.gph saved

. 
.         
. **Figure 6: "US: Sport Frames"  
.         
. *Sports
. graph bar (mean) baseball football basketball hockey [pweight=teamweight], ///
> title(Aggregate) ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, ///
> position(center) format(%4.0g) size(3) color(white)) bargap(30) ///
> legend(label(1 "Baseball") label(2 "Football") label(3 "Basketball") ///
> label(4 "Hockey") size(2.5) rowgap(*.45) pos(6) rows(1) region(style(legend) ///
> fcolor(gs15) margin(medsmall)) colgap(*.75) symxsize(*.75) keygap(*.33)) ///
> ytitle(thermometer) 

. graph save sports1.gph, replace 
file sports1.gph saved

. 
.         *Sports*Race
.         graph bar (mean) baseball football basketball hockey ///
>         [pweight=teamweight], over(white) title(Race) ysc(r(1) titleg(1)) ///
>         ylab(0(25)100) blabel(bar, position(center) format(%4.0g) size(3) ///
>         color(white)) bargap(-15) legend(label(1 "Baseball") label(2 "Football") ///
>         label(3 "Basketball") label(4 "Hockey") size(2.5) rowgap(*.45) pos(6) ///
>         rows(1) region(style(legend) fcolor(gs15) margin(medsmall)) colgap(*.75) ///
>         symxsize(*.75) keygap(*.33)) ytitle(thermometer)

.         graph save sports2.gph, replace 
file sports2.gph saved

.         
.         *Sports*Ideology
.         graph bar (mean) baseball football basketball hockey ///
>         [pweight=teamweight], over(conservative) title(Ideology) ysc(r(1) ///
>         titleg(1)) ylab(0(25)100) blabel(bar, position(center) format(%4.0g) ///
>         size(3) color(white)) bargap(-15) legend(label(1 "Baseball") ///
>         label(2 "Football") label(3 "Basketball") label(4 "Hockey") size(2.5) ///
>         rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15) ///
>         margin(medsmall)) colgap(*.75) symxsize(*.75) keygap(*.33)) ///
>         ytitle(thermometer)

.         graph save sports3.gph, replace 
file sports3.gph saved

.         
.         *Sports*Religiosity
.         graph bar (mean) baseball football basketball hockey ///
>         [pweight=teamweight], over(religious) title(Religiosity) ysc(r(1) ///
>         titleg(1)) ylab(0(25)100) blabel(bar, position(center) format(%4.0g) ///
>         size(3) color(white)) bargap(-15) legend(label(1 "Baseball") ///
>         label(2 "Football") label(3 "Basketball") label(4 "Hockey") size(2.5) ///
>         rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15) ///
>         margin(medsmall)) colgap(*.75) symxsize(*.75) keygap(*.33)) ///
>         ytitle(thermometer)

.         graph save sports4.gph, replace         
file sports4.gph saved

. 
.         grc1leg sports1.gph sports2.gph sports3.gph sports4.gph, ycommon col(2) ///
>         title("US: Sport Frames") note("Source: 2018 CCES (UT Austin)", pos(6))

.         
.         
. *Figure 7: "Sport Frames: Means scores by Party ID"     
. 
. *Sports*Partisanship
. graph bar (mean) baseball football basketball hockey [pweight=teamweight], ///
> over(pid3) title(Sport Frames) subtitle(Mean scores by Party ID) ysc(r(1) ///
> titleg(1)) ylab(0(25)100) blabel(bar, position(center) format(%4.0g) ///
> size(3) color(white)) bargap(-15) legend(label(1 "Baseball") ///
> label(2 "Football") label(3 "Basketball") label(4 "Hockey") size(2.5) ///
> rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15) ///
> margin(medsmall)) colgap(*.75) symxsize(*.75) keygap(*.33)) ///
> ytitle(thermometer) note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save sports5.gph, replace         
file sports5.gph saved

.         
.         
. **Figure 8: "US: Frame Clusterings by Partisanship"
.         
. *Factor*Partisanship
. graph bar (mean) factor1 factor2 factor3 [pweight=teamweight], ///
> over(pid3) ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, ///
> position(center) format(%4.0g) size(3) color(white)) ///
> title(US: Frame Clusterings by Partisanship) ///
> bargap(-15) legend(label(1 "Traditional Frames") ///
> label(2 "Experiences Frames") label(3 "Sports Frames") size(3) ///
> rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15) ///
> margin(medsmall)) colgap(*.75) symxsize(*.75) keygap(*.33)) ///
> ytitle(thermometer) note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save cluster3.gph, replace        
file cluster3.gph saved

.         
.         
. **Figure 9: "US: Frame Clusterings by Non-White/White"
.         
. *Factor*Gender
. graph bar (mean) factor1 factor2 factor3 [pweight=teamweight], ///
> over(white) ysc(r(1) titleg(1)) ylab(0(25)100) blabel(bar, ///
> position(center) format(%4.0g) size(3) color(white)) ///
> title(US: Frame Clusterings by Non-White/White) ///
> bargap(-15) legend(label(1 "Traditional Frames") ///
> label(2 "Experiences Frames") label(3 "Sports Frames") size(3) ///
> rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15) ///
> margin(medsmall)) colgap(*.75) symxsize(*.75) keygap(*.33)) ///
> ytitle(thermometer) note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save cluster3.gph, replace        
file cluster3.gph saved

.                 
.                 
. **Figure 10: "US: Predictors of Frame Clusterings"      
. 
. svy: reg factor1 age education income female interest i.white i.conservative ///
> i.rep i.religious
(running regress on estimation sample)

Survey: Linear regression

Number of strata =   1                            Number of obs   =        882
Number of PSUs   = 882                            Population size = 862.976077
                                                  Design df       =        881
                                                  F(9, 873)       =       9.19
                                                  Prob > F        =     0.0000
                                                  R-squared       =     0.1052

-------------------------------------------------------------------------------
              |             Linearized
      factor1 | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
          age |   .0322681    .080124     0.40   0.687     -.124988    .1895243
    education |  -1.282054   1.354658    -0.95   0.344    -3.940787     1.37668
       income |   .5118184   .4211767     1.22   0.225    -.3148085    1.338445
       female |  -6.024691   2.582738    -2.33   0.020    -11.09373   -.9556538
     interest |   2.101578    1.44934     1.45   0.147    -.7429837     4.94614
              |
        white |
       White  |   7.308308   3.478222     2.10   0.036     .4817395    14.13488
              |
 conservative |
Conservative  |  -.6585958   3.610446    -0.18   0.855    -7.744676    6.427484
        1.rep |   12.53347   3.353159     3.74   0.000     5.952356    19.11458
              |
    religious |
   Religious  |   2.732451   2.790288     0.98   0.328    -2.743936    8.208838
        _cons |   42.39947   5.696852     7.44   0.000     31.21848    53.58045
-------------------------------------------------------------------------------

. eststo a

. svy: reg factor2 age education income female interest i.white i.conservative ///
> i.rep i.religious
(running regress on estimation sample)

Survey: Linear regression

Number of strata =   1                            Number of obs   =        884
Number of PSUs   = 884                            Population size = 863.424401
                                                  Design df       =        883
                                                  F(9, 875)       =       3.66
                                                  Prob > F        =     0.0002
                                                  R-squared       =     0.0530

-------------------------------------------------------------------------------
              |             Linearized
      factor2 | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
          age |  -.0407964   .0829511    -0.49   0.623    -.2036008    .1220079
    education |   .3573184   1.302718     0.27   0.784    -2.199467    2.914103
       income |   .5937281   .4028559     1.47   0.141    -.1969387    1.384395
       female |    -2.4243   2.680753    -0.90   0.366    -7.685692    2.837092
     interest |   3.647294   1.545994     2.36   0.019     .6130422    6.681545
              |
        white |
       White  |   .9829033   3.653377     0.27   0.788    -6.187413     8.15322
              |
 conservative |
Conservative  |  -7.967164   3.587196    -2.22   0.027    -15.00759   -.9267393
        1.rep |  -5.133103   3.676061    -1.40   0.163    -12.34794    2.081733
              |
    religious |
   Religious  |   2.761989   2.944892     0.94   0.349    -3.017817    8.541794
        _cons |   44.15792   6.571751     6.72   0.000     31.25984    57.05599
-------------------------------------------------------------------------------

. eststo b

. svy: reg factor3 age education income female interest i.white i.conservative ///
> i.rep i.religious       
(running regress on estimation sample)

Survey: Linear regression

Number of strata =   1                             Number of obs   =       878
Number of PSUs   = 878                             Population size = 857.24613
                                                   Design df       =       877
                                                   F(9, 869)       =      3.41
                                                   Prob > F        =    0.0004
                                                   R-squared       =    0.0460

-------------------------------------------------------------------------------
              |             Linearized
      factor3 | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
          age |  -.0451071   .0889045    -0.51   0.612    -.2195976    .1293833
    education |  -1.569572   1.395137    -1.13   0.261    -4.307768    1.168624
       income |   .7299644    .427754     1.71   0.088    -.1095767    1.569505
       female |  -8.062955   2.844181    -2.83   0.005    -13.64515   -2.480758
     interest |   .8267322   1.664343     0.50   0.620    -2.439828    4.093293
              |
        white |
       White  |     .47333   3.712929     0.13   0.899    -6.813935    7.760595
              |
 conservative |
Conservative  |  -5.780117   3.803452    -1.52   0.129    -13.24505    1.684815
        1.rep |   6.079146   3.987442     1.52   0.128    -1.746898    13.90519
              |
    religious |
   Religious  |   7.326767   2.965392     2.47   0.014     1.506673    13.14686
        _cons |   47.79883   6.348397     7.53   0.000     35.33901    60.25866
-------------------------------------------------------------------------------

. eststo c

.         
. coefplot (a, label(Traditional Frames)) (b, label(Experiences Frames)) ///
> (c, label(Sports Frames)) , drop(_cons) xline(0) bycoefs legend(size(3) ///
> rowgap(*.45) pos(6) rows(1) region(style(legend) fcolor(gs15) margin(medsmall)))

. 
. 
. **Figure 11: "US: Vote Choice/Policy"
. 
. svy: logit wall factor1 factor2 factor3 age education income female ///
> interest i.conservative pid white religious
(running logit on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
                                                  Design df       =        837
                                                  F(12, 826)      =      14.51
                                                  Prob > F        =     0.0000

-------------------------------------------------------------------------------
              |             Linearized
         wall | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
      factor1 |   .0298073   .0075802     3.93   0.000     .0149288    .0446858
      factor2 |  -.0309141   .0059915    -5.16   0.000    -.0426743   -.0191539
      factor3 |  -.0035629   .0061808    -0.58   0.564    -.0156947    .0085688
          age |    .039756   .0097078     4.10   0.000     .0207016    .0588104
    education |  -.1379801   .1603397    -0.86   0.390    -.4526952    .1767351
       income |   .0332403   .0467193     0.71   0.477    -.0584604     .124941
       female |  -.7209328   .2667742    -2.70   0.007    -1.244558   -.1973079
     interest |  -.0715998    .167299    -0.43   0.669    -.3999747    .2567751
              |
 conservative |
Conservative  |   .3961587   .3106753     1.28   0.203    -.2136355    1.005953
          pid |   .7073835   .0798701     8.86   0.000     .5506144    .8641527
        white |   -.122096   .3445907    -0.35   0.723    -.7984594    .5542673
    religious |   .8490421   .2770217     3.06   0.002     .3053033    1.392781
        _cons |  -4.884869   .6807636    -7.18   0.000    -6.221074   -3.548665
-------------------------------------------------------------------------------

. eststo wall1

. 
. svy: logit trump factor1 factor2 factor3 age education income female ///
> interest i.conservative pid white religious
(running logit on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
                                                  Design df       =        602
                                                  F(12, 591)      =      14.75
                                                  Prob > F        =     0.0000

-------------------------------------------------------------------------------
              |             Linearized
        trump | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
--------------+----------------------------------------------------------------
      factor1 |    .017839    .012052     1.48   0.139    -.0058301    .0415082
      factor2 |  -.0177078   .0080314    -2.20   0.028    -.0334806   -.0019349
      factor3 |   .0005573   .0087873     0.06   0.949    -.0167002    .0178148
          age |   .0009551   .0160254     0.06   0.952    -.0305175    .0324276
    education |  -.4772709    .192359    -2.48   0.013    -.8550471   -.0994946
       income |    .122653   .0895633     1.37   0.171    -.0532415    .2985476
       female |  -.8882335   .4688128    -1.89   0.059    -1.808941    .0324737
     interest |  -.3533465   .3550996    -1.00   0.320    -1.050731     .344038
              |
 conservative |
Conservative  |   1.323769   .6308239     2.10   0.036     .0848859    2.562652
          pid |   1.191132   .1448827     8.22   0.000     .9065948    1.475669
        white |    1.50856   .5551764     2.72   0.007     .4182419    2.598878
    religious |   .9074927    .508915     1.78   0.075    -.0919719    1.906957
        _cons |   -5.05615   1.637446    -3.09   0.002     -8.27195    -1.84035
-------------------------------------------------------------------------------

. eststo trump1

. 
. coefplot (trump1, label("Trump '16"))  ///
> (wall1, label("Border Wall")),  drop(_cons) ///
> ysize(8) xline(0) nolabels byopts(legend(on)) ///
> coefl(factor1="Traditional" factor2="Experiences" factor3="Sports" ///
> age="Age" education="Education" income="Income" female="Female" ///
> interest="Pol. Interest" white="White" 1.conservative="Conservative" ///
> religious="Religiosity" pid="Party ID") title("US: Vote Choice/Policy") ///
> subtitle ("Logistic Regression Coefficients, 95% CIs")  ///
> note("Source: 2018 CCES (UT Austin)", pos(6))

. 
. 
. **Figure 12: "US: Effect of National Frames on Support for Border Wall"
. 
. svy: logistic wall factor1 factor2 factor3 age education income female ///
> interest ideology pid i.race
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                             Number of obs   =       795
Number of PSUs   = 795                             Population size = 773.92355
                                                   Design df       =       794
                                                   F(13, 782)      =     13.32
                                                   Prob > F        =    0.0000

------------------------------------------------------------------------------
             |             Linearized
        wall | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     factor1 |   1.029402   .0087418     3.41   0.001     1.012384    1.046705
     factor2 |   .9755566   .0064985    -3.72   0.000     .9628834    .9883966
     factor3 |   .9949381   .0064474    -0.78   0.434     .9823623    1.007675
         age |   1.046401   .0110057     4.31   0.000     1.025018    1.068229
   education |   .9039617   .1451586    -0.63   0.530      .659561    1.238925
      income |   1.007992   .0454936     0.18   0.860     .9225319     1.10137
      female |   .4358292   .1187923    -3.05   0.002     .2552427    .7441822
    interest |   .9642547   .1800066    -0.19   0.845     .6684166    1.391029
    ideology |   1.428707   .2288127     2.23   0.026     1.043306    1.956475
         pid |    2.01921   .1753589     8.09   0.000      1.70273    2.394513
             |
        race |
      Black  |   .7846892    .570469    -0.33   0.739     .1883343    3.269384
     Latino  |   1.826574   .8021212     1.37   0.170     .7713829    4.325181
      Other  |   .8610928   .6116621    -0.21   0.833     .2135457    3.472235
             |
       _cons |   .0027332   .0022312    -7.23   0.000     .0005505    .0135711
------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo wall

. 
. margins, at(factor1=(0(20)100))

Predictive margins

Number of strata =   1                             Number of obs   =       795
Number of PSUs   = 795                             Population size = 773.92355
Model VCE: Linearized                              Design df       =       794

Expression: Pr(wall), predict()
1._at: factor1 =   0
2._at: factor1 =  20
3._at: factor1 =  40
4._at: factor1 =  60
5._at: factor1 =  80
6._at: factor1 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .2446378     .05683     4.30   0.000     .1330831    .3561925
          2  |   .3047486   .0438562     6.95   0.000     .2186607    .3908364
          3  |   .3684008   .0285398    12.91   0.000     .3123785    .4244231
          4  |   .4344414   .0165422    26.26   0.000     .4019698     .466913
          5  |   .5022469   .0224719    22.35   0.000     .4581355    .5463583
          6  |   .5713046   .0397965    14.36   0.000     .4931859    .6494234
------------------------------------------------------------------------------

. marginsplot, title("Traditional Frames") ytitle("Pr(Support)") legend(off) ///
> xtitle("thermometer") ylabel(0(.20)1) note("Positive significant effect", pos(6))

Variables that uniquely identify margins: factor1

. graph save 1.gph, replace
file 1.gph saved

. 
. margins, at(factor2=(0(20)100))

Predictive margins

Number of strata =   1                             Number of obs   =       795
Number of PSUs   = 795                             Population size = 773.92355
Model VCE: Linearized                              Design df       =       794

Expression: Pr(wall), predict()
1._at: factor2 =   0
2._at: factor2 =  20
3._at: factor2 =  40
4._at: factor2 =  60
5._at: factor2 =  80
6._at: factor2 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .5919307   .0440533    13.44   0.000     .5054559    .6784054
          2  |   .5341698   .0305067    17.51   0.000     .4742865    .5940532
          3  |   .4767559   .0195001    24.45   0.000      .438478    .5150338
          4  |   .4203596   .0174412    24.10   0.000     .3861232    .4545959
          5  |    .365616   .0252412    14.48   0.000     .3160686    .4151634
          6  |   .3131232   .0354395     8.84   0.000      .243557    .3826895
------------------------------------------------------------------------------

. marginsplot, title("Value Frames") ytitle("Pr(Support)") ///
> xtitle("thermometer") ylabel(0(.20)1) note("Negative significant effect", pos(6))

Variables that uniquely identify margins: factor2

. graph save 2.gph, replace
file 2.gph saved

. 
. margins, at(factor3=(0(20)100))

Predictive margins

Number of strata =   1                             Number of obs   =       795
Number of PSUs   = 795                             Population size = 773.92355
Model VCE: Linearized                              Design df       =       794

Expression: Pr(wall), predict()
1._at: factor3 =   0
2._at: factor3 =  20
3._at: factor3 =  40
4._at: factor3 =  60
5._at: factor3 =  80
6._at: factor3 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .4648071   .0347457    13.38   0.000     .3966028    .5330115
          2  |   .4538975   .0229904    19.74   0.000     .4087683    .4990267
          3  |   .4430306   .0153573    28.85   0.000      .412885    .4731762
          4  |   .4322073   .0178951    24.15   0.000     .3970801    .4673346
          5  |   .4214286   .0277932    15.16   0.000     .3668717    .4759856
          6  |   .4106957   .0397845    10.32   0.000     .3326005    .4887908
------------------------------------------------------------------------------

. marginsplot, title("Sport Frames") ytitle("Pr(Support)") ///
> xtitle("thermometer") ylabel(0(.20)1) note("No significant effect", pos(6))

Variables that uniquely identify margins: factor3

. graph save 3.gph, replace
file 3.gph saved

. 
.         grc1leg 1.gph 2.gph 3.gph, ycommon col(3) legendfrom(1.gph) ///
>         title("US: Effect of National Frames on Support for Border Wall") ///
>         subtitle("Marginal Predictions w/95% CIs") ///
>         note("Source: 2018 CCES (UT Austin)", pos(6)) 

.         
.         
. **Figure 13: "US: Effect on National Frames on Trump Vote '16"
. 
. svy: logit trump factor1 factor2 factor3 age education income female ///
> interest ideology pid i.race
(running logit on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        590
Number of PSUs   = 590                            Population size = 544.328953
                                                  Design df       =        589
                                                  F(13, 577)      =      11.73
                                                  Prob > F        =     0.0000

------------------------------------------------------------------------------
             |             Linearized
       trump | Coefficient  std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
     factor1 |   .0052433   .0106107     0.49   0.621    -.0155961    .0260828
     factor2 |  -.0195763    .008583    -2.28   0.023    -.0364333   -.0027192
     factor3 |   .0092446   .0091406     1.01   0.312    -.0087076    .0271969
         age |   .0098857     .01575     0.63   0.530    -.0210472    .0408187
   education |   -.540302   .2148026    -2.52   0.012    -.9621742   -.1184297
      income |   .1177984   .0714517     1.65   0.100    -.0225327    .2581295
      female |  -.6796294   .4384328    -1.55   0.122    -1.540711    .1814524
    interest |  -.3880882    .343709    -1.13   0.259    -1.063133    .2869562
    ideology |   .8708604   .2482409     3.51   0.000     .3833154    1.358405
         pid |   1.240518   .1949587     6.36   0.000     .8576189    1.623416
             |
        race |
      Black  |  -5.049599   1.614108    -3.13   0.002    -8.219707   -1.879491
     Latino  |  -1.042152   .7722249    -1.35   0.178    -2.558802    .4744973
      Other  |   .0861262   .5015501     0.17   0.864     -.898918     1.07117
             |
       _cons |  -5.266871   1.373847    -3.83   0.000    -7.965107   -2.568635
------------------------------------------------------------------------------

. eststo trump

. 
. margins, at(factor1=(0(20)100))

Predictive margins

Number of strata =   1                            Number of obs   =        590
Number of PSUs   = 590                            Population size = 544.328953
Model VCE: Linearized                             Design df       =        589

Expression: Pr(trump), predict()
1._at: factor1 =   0
2._at: factor1 =  20
3._at: factor1 =  40
4._at: factor1 =  60
5._at: factor1 =  80
6._at: factor1 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .4785026   .0397527    12.04   0.000     .4004283     .556577
          2  |   .4841431   .0285808    16.94   0.000     .4280104    .5402758
          3  |   .4897669   .0183295    26.72   0.000     .4537677    .5257661
          4  |   .4953804   .0114131    43.40   0.000     .4729651    .5177957
          5  |   .5009894    .014006    35.77   0.000     .4734816    .5284973
          6  |   .5065998   .0231029    21.93   0.000     .4612258    .5519739
------------------------------------------------------------------------------

. marginsplot, title("Traditional Frames") ytitle("Pr(Voted)") ///
> xtitle("thermometer") ylabel(0(.20)1) note("No significant effect", pos(6))

Variables that uniquely identify margins: factor1

. graph save 1.gph, replace
file 1.gph saved

. 
. margins, at(factor2=(0(20)100))

Predictive margins

Number of strata =   1                            Number of obs   =        590
Number of PSUs   = 590                            Population size = 544.328953
Model VCE: Linearized                             Design df       =        589

Expression: Pr(trump), predict()
1._at: factor2 =   0
2._at: factor2 =  20
3._at: factor2 =  40
4._at: factor2 =  60
5._at: factor2 =  80
6._at: factor2 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .5535763   .0289461    19.12   0.000     .4967262    .6104264
          2  |   .5317737   .0200546    26.52   0.000     .4923865    .5711608
          3  |   .5102794   .0135055    37.78   0.000     .4837546    .5368042
          4  |   .4889935   .0124193    39.37   0.000      .464602     .513385
          5  |   .4677579   .0175544    26.65   0.000     .4332811    .5022348
          6  |   .4463343   .0256966    17.37   0.000     .3958662    .4968025
------------------------------------------------------------------------------

. marginsplot, title("Value Frames") ytitle("Pr(Voted)") ///
> xtitle("thermometer") ylabel(0(.20)1) note("Negative significant effect", pos(6))

Variables that uniquely identify margins: factor2

. graph save 2.gph, replace
file 2.gph saved

. 
. margins, at(factor3=(0(20)100))

Predictive margins

Number of strata =   1                            Number of obs   =        590
Number of PSUs   = 590                            Population size = 544.328953
Model VCE: Linearized                             Design df       =        589

Expression: Pr(trump), predict()
1._at: factor3 =   0
2._at: factor3 =  20
3._at: factor3 =  40
4._at: factor3 =  60
5._at: factor3 =  80
6._at: factor3 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
         _at |
          1  |   .4706012   .0241655    19.47   0.000     .4231401    .5180623
          2  |   .4803719   .0157449    30.51   0.000     .4494488    .5112949
          3  |   .4900607   .0106881    45.85   0.000     .4690692    .5110521
          4  |   .4997085   .0130887    38.18   0.000     .4740024    .5254147
          5  |   .5093554   .0204177    24.95   0.000     .4692549    .5494558
          6  |   .5190388   .0292781    17.73   0.000     .4615365     .576541
------------------------------------------------------------------------------

. marginsplot, title("Sport Frames") ytitle("Pr(Voted)") ///
> xtitle("thermometer") ylabel(0(.20)1) note("No significant effect", pos(6))

Variables that uniquely identify margins: factor3

. graph save 3.gph, replace
file 3.gph saved

. 
.         grc1leg 1.gph 2.gph 3.gph, ycommon col(3) ///
>         title("US: Effect of National Frames on Trump Vote '16") ///
>         subtitle("Marginal Predictions w/95% CIs") ///
>         note("Source: 2018 CCES (UT Austin)", pos(6)) 

.         
.         
. **Figure 14: "Marginal Effects of Experiences Frames"   
.         
. svy: logistic trump i.white##c.factor1 i.white##c.factor2 ///
> i.white##c.factor3 age education income female interest i.conservative ///
> pid religious
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
                                                  Design df       =        602
                                                  F(15, 588)      =      10.61
                                                  Prob > F        =     0.0000

---------------------------------------------------------------------------------
                |             Linearized
          trump | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
          white |
         White  |   64.03855   147.4948     1.81   0.071     .6950049    5900.586
        factor1 |     1.0204   .0233931     0.88   0.379     .9754769    1.067392
                |
white#c.factor1 |
         White  |   .9919731   .0271751    -0.29   0.769     .9400139    1.046804
                |
        factor2 |   1.010544   .0186732     0.57   0.570     .9745291     1.04789
                |
white#c.factor2 |
         White  |   .9652505   .0199709    -1.71   0.088     .9268154    1.005279
                |
        factor3 |   1.000759   .0193775     0.04   0.969     .9634174    1.039547
                |
white#c.factor3 |
         White  |   1.000613    .021713     0.03   0.977     .9588663    1.044177
                |
            age |   1.000243   .0146585     0.02   0.987     .9718658     1.02945
      education |    .646214   .1193679    -2.36   0.018     .4496003    .9288084
         income |   1.141368   .0962704     1.57   0.117     .9671308    1.346996
         female |   .4842494   .2251821    -1.56   0.119     .1942908    1.206941
       interest |    .703544   .2479747    -1.00   0.319     .3521016    1.405771
                |
   conservative |
  Conservative  |    4.31362   2.214366     2.85   0.005     1.573995    11.82171
            pid |   3.515562   .5757106     7.68   0.000     2.548712    4.849187
      religious |   2.321349   1.119801     1.75   0.081      .900119    5.986608
          _cons |   .0005951   .0016266    -2.72   0.007     2.78e-06    .1275667
---------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo trump2

. 
.         margins white, dydx(factor2) predict(pr)

Average marginal effects

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
Model VCE: Linearized                             Design df       =        602

Expression: Pr(trump), predict(pr)
dy/dx wrt:  factor2

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
factor2      |
       white |
  Non-White  |   .0006755   .0012353     0.55   0.585    -.0017506    .0031015
      White  |  -.0015477   .0005504    -2.81   0.005    -.0026286   -.0004668
------------------------------------------------------------------------------

.         margins white, at(factor2=(0(20)100)) predict(pr)

Predictive margins

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
Model VCE: Linearized                             Design df       =        602

Expression: Pr(trump), predict(pr)
1._at: factor2 =   0
2._at: factor2 =  20
3._at: factor2 =  40
4._at: factor2 =  60
5._at: factor2 =  80
6._at: factor2 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
   _at#white |
1#Non-White  |    .384424   .0917866     4.19   0.000     .2041631     .564685
    1#White  |   .6257864   .0404153    15.48   0.000     .5464144    .7051584
2#Non-White  |   .3982239    .067372     5.91   0.000     .2659112    .5305365
    2#White  |   .5883321   .0276012    21.32   0.000     .5341257    .6425384
3#Non-White  |   .4116515   .0459476     8.96   0.000     .3214144    .5018887
    3#White  |   .5528303   .0192489    28.72   0.000     .5150271    .5906334
4#Non-White  |   .4247468   .0304558    13.95   0.000     .3649342    .4845594
    4#White  |   .5195352   .0184529    28.15   0.000     .4832954     .555775
5#Non-White  |   .4375672   .0285185    15.34   0.000     .3815592    .4935751
    5#White  |   .4881414   .0240058    20.33   0.000      .440996    .5352867
6#Non-White  |    .450185   .0406883    11.06   0.000     .3702767    .5300932
    6#White  |   .4577577    .032892    13.92   0.000     .3931607    .5223546
------------------------------------------------------------------------------

.         marginsplot, title("Voted Trump") xtitle("Experiences Frames") ///
>         ylab(0(.20)1) ytitle("Pr(Vote=1)") yline(.50, lpattern(dot))

Variables that uniquely identify margins: factor2 white

.         graph save trump2.gph, replace          
file trump2.gph saved

. 
. svy: logistic wall i.white##c.factor1 i.white##c.factor2 ///
> i.white##c.factor3 age education income female interest i.conservative ///
> pid religious
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
                                                  Design df       =        837
                                                  F(15, 823)      =      12.08
                                                  Prob > F        =     0.0000

---------------------------------------------------------------------------------
                |             Linearized
           wall | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
----------------+----------------------------------------------------------------
          white |
         White  |   1.121341   .7577306     0.17   0.865     .2976574    4.224335
        factor1 |   1.020917   .0173969     1.21   0.225     .9873353    1.055641
                |
white#c.factor1 |
         White  |   1.012581   .0189305     0.67   0.504     .9760973    1.050427
                |
        factor2 |   .9891878   .0109951    -0.98   0.328     .9678404    1.011006
                |
white#c.factor2 |
         White  |   .9728163   .0126504    -2.12   0.034     .9483003    .9979662
                |
        factor3 |   .9888009   .0137231    -0.81   0.417     .9622287    1.016107
                |
white#c.factor3 |
         White  |   1.009462   .0155519     0.61   0.541     .9793933    1.040453
                |
            age |   1.041177   .0100418     4.18   0.000     1.021652    1.061075
      education |   .8656292   .1359514    -0.92   0.358     .6359938    1.178178
         income |   1.035255   .0479054     0.75   0.454     .9453702    1.133687
         female |   .5014924     .14151    -2.45   0.015     .2882215    .8725742
       interest |   .9461385   .1547119    -0.34   0.735      .686381      1.3042
                |
   conservative |
  Conservative  |   1.466511   .4602171     1.22   0.223     .7920937    2.715153
            pid |   2.033769   .1652943     8.73   0.000     1.733885    2.385521
      religious |   2.351264   .6607874     3.04   0.002      1.35437    4.081926
          _cons |    .005933   .0049795    -6.11   0.000     .0011424    .0308117
---------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo wall2    

. 
.         margins white, dydx(factor2) predict(pr)

Average marginal effects

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
dy/dx wrt:  factor2

------------------------------------------------------------------------------
             |            Delta-method
             |      dy/dx   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
factor2      |
       white |
  Non-White  |  -.0013033   .0012678    -1.03   0.304    -.0037917    .0011851
      White  |  -.0040843   .0006998    -5.84   0.000    -.0054578   -.0027108
------------------------------------------------------------------------------

.         margins white, at(factor2=(0(20)100)) predict(pr)

Predictive margins

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
1._at: factor2 =   0
2._at: factor2 =  20
3._at: factor2 =  40
4._at: factor2 =  60
5._at: factor2 =  80
6._at: factor2 = 100

------------------------------------------------------------------------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-------------+----------------------------------------------------------------
   _at#white |
1#Non-White  |   .5195169   .0858431     6.05   0.000     .3510238    .6880099
    1#White  |    .676535    .043793    15.45   0.000     .5905779     .762492
2#Non-White  |   .4922738    .061206     8.04   0.000     .3721385    .6124091
    2#White  |   .5873233   .0321202    18.29   0.000     .5242777    .6503689
3#Non-White  |   .4653085    .040877    11.38   0.000      .385075     .545542
    3#White  |   .4974974   .0212986    23.36   0.000     .4556924    .5393024
4#Non-White  |   .4386463   .0326272    13.44   0.000     .3746055    .5026871
    4#White  |   .4098048   .0183136    22.38   0.000     .3738589    .4457507
5#Non-White  |   .4123077   .0427918     9.64   0.000     .3283158    .4962996
    5#White  |   .3261918   .0246558    13.23   0.000     .2777974    .3745862
6#Non-White  |   .3863153   .0621438     6.22   0.000     .2643393    .5082914
    6#White  |   .2484659   .0328633     7.56   0.000     .1839617    .3129701
------------------------------------------------------------------------------

.         marginsplot, title("Border Wall") ///
>         xtitle("Experiences Frames") ylab(0(.20)1) ytitle("Pr(Support=1)") ///
>         yline(.50, lpattern(dot))

Variables that uniquely identify margins: factor2 white

.         graph save wall2.gph, replace   
file wall2.gph saved

.         
.         grc1leg trump2.gph wall2.gph, ycommon col(2) ///
>         title("Marginal Effects of Experiences Frames") ///
>         subtitle("by Group ID w/95% CIs") note("Source: 2018 CCES (UT Austin)", pos(6))

.         
.         
. **Figure 15: "Marginal Effects of Experiences Frames"
.         
. svy: logistic trump i.conservative##c.factor1 i.conservative##c.factor2 ///
> i.conservative##c.factor3 age education income female interest i.white ///
> pid religious
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
                                                  Design df       =        602
                                                  F(15, 588)      =      11.31
                                                  Prob > F        =     0.0000

----------------------------------------------------------------------------------------
                       |             Linearized
                 trump | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          conservative |
         Conservative  |   .3982369   .5884556    -0.62   0.533      .021869    7.251954
               factor1 |   1.003437    .010697     0.32   0.748     .9826478    1.024667
                       |
conservative#c.factor1 |
         Conservative  |   1.088689   .0380637     2.43   0.015     1.016444    1.166069
                       |
               factor2 |   .9828106   .0081073    -2.10   0.036     .9670168    .9988624
                       |
conservative#c.factor2 |
         Conservative  |   .9737836   .0302223    -0.86   0.392     .9162023    1.034984
                       |
               factor3 |   1.005738   .0103876     0.55   0.580      .985543    1.026347
                       |
conservative#c.factor3 |
         Conservative  |   .9668987   .0224192    -1.45   0.147     .9238569    1.011946
                       |
                   age |   1.001754   .0141359     0.12   0.901     .9743739    1.029904
             education |   .6612903   .1278414    -2.14   0.033     .4523821    .9666716
                income |   1.126493   .0894752     1.50   0.134     .9637911    1.316661
                female |   .3776833   .1705393    -2.16   0.031     .1555971    .9167565
              interest |   .6600471   .2306242    -1.19   0.235     .3323236    1.310958
                       |
                 white |
                White  |   4.694626   2.589007     2.80   0.005     1.589396     13.8666
                   pid |   3.553496   .5528385     8.15   0.000     2.617957    4.823353
             religious |     2.7123   1.399592     1.93   0.054     .9845066     7.47234
                 _cons |   .0085373   .0112933    -3.60   0.000     .0006354    .1147033
----------------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo trump3

. 
.         margins conservative, dydx(factor1) predict(pr)

Average marginal effects

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
Model VCE: Linearized                             Design df       =        602

Expression: Pr(trump), predict(pr)
dy/dx wrt:  factor1

-----------------------------------------------------------------------------------
                  |            Delta-method
                  |      dy/dx   std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
factor1           |
     conservative |
Non-Conservative  |    .000239   .0007401     0.32   0.747    -.0012144    .0016924
    Conservative  |   .0048246   .0013198     3.66   0.000     .0022326    .0074165
-----------------------------------------------------------------------------------

.         margins conservative, at(factor1=(0(20)100)) predict(pr)

Predictive margins

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
Model VCE: Linearized                             Design df       =        602

Expression: Pr(trump), predict(pr)
1._at: factor1 =   0
2._at: factor1 =  20
3._at: factor1 =  40
4._at: factor1 =  60
5._at: factor1 =  80
6._at: factor1 = 100

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |     Margin   std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
   _at#conservative |
1#Non-Conservative  |   .4574952   .0540452     8.47   0.000     .3513551    .5636354
    1#Conservative  |   .1542508   .1191781     1.29   0.196    -.0798045    .3883061
2#Non-Conservative  |   .4623883   .0394731    11.71   0.000     .3848666      .53991
    2#Conservative  |   .2797879    .114104     2.45   0.014     .0556977    .5038781
3#Non-Conservative  |   .4672636   .0261471    17.87   0.000     .4159129    .5186143
    3#Conservative  |    .413174   .0758916     5.44   0.000     .2641296    .5622184
4#Non-Conservative  |   .4721233    .016902    27.93   0.000     .4389293    .5053174
    4#Conservative  |   .5443594   .0392916    13.85   0.000     .4671941    .6215247
5#Non-Conservative  |   .4769698   .0188365    25.32   0.000     .4399765     .513963
    5#Conservative  |   .6762773   .0411684    16.43   0.000     .5954262    .7571285
6#Non-Conservative  |   .4818052   .0297385    16.20   0.000     .4234013    .5402091
    6#Conservative  |   .8010179   .0533834    15.01   0.000     .6961776    .9058581
-------------------------------------------------------------------------------------

.         marginsplot, title("Voted Trump") xtitle("Traditional Frames") ///
>         ylab(0(.20)1) ytitle("Pr(Vote=1)") yline(.50, lpattern(dot))

Variables that uniquely identify margins: factor1 conservative

.         graph save trump3.gph, replace  
file trump3.gph saved

.         
. svy: logistic wall i.conservative##c.factor1 i.conservative##c.factor2 ///
> i.conservative##c.factor3 age education income female interest i.white ///
> pid religious
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
                                                  Design df       =        837
                                                  F(15, 823)      =      12.14
                                                  Prob > F        =     0.0000

----------------------------------------------------------------------------------------
                       |             Linearized
                  wall | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          conservative |
         Conservative  |    .562273   .3446111    -0.94   0.348     .1688494    1.872385
               factor1 |   1.016561   .0091095     1.83   0.067     .9988373    1.034599
                       |
conservative#c.factor1 |
         Conservative  |   1.047957   .0202987     2.42   0.016     1.008862    1.088566
                       |
               factor2 |   .9670832    .006863    -4.72   0.000     .9537059    .9806481
                       |
conservative#c.factor2 |
         Conservative  |   1.012099    .014535     0.84   0.403     .9839683    1.041035
                       |
               factor3 |   1.007608   .0078942     0.97   0.334     .9922322    1.023223
                       |
conservative#c.factor3 |
         Conservative  |   .9541779   .0163044    -2.75   0.006     .9227062    .9867229
                       |
                   age |   1.040285   .0103728     3.96   0.000     1.020123    1.060845
             education |   .9151861   .1520786    -0.53   0.594     .6604781     1.26812
                income |   1.019748   .0473434     0.42   0.674     .9309301    1.117039
                female |   .4785934   .1284074    -2.75   0.006     .2826554    .8103566
              interest |   .8946801   .1529225    -0.65   0.515     .6396849    1.251323
                       |
                 white |
                White  |   .9212567   .3239664    -0.23   0.816     .4619725    1.837152
                   pid |   2.054269   .1660336     8.91   0.000     1.752914    2.407433
             religious |   2.465086   .6883743     3.23   0.001     1.424919    4.264558
                 _cons |   .0107694   .0073069    -6.68   0.000     .0028433    .0407903
----------------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo wall3

. 
.         margins conservative, dydx(factor1) predict(pr)

Average marginal effects

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
dy/dx wrt:  factor1

-----------------------------------------------------------------------------------
                  |            Delta-method
                  |      dy/dx   std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
factor1           |
     conservative |
Non-Conservative  |   .0019488   .0010212     1.91   0.057    -.0000556    .0039532
    Conservative  |   .0069398   .0014731     4.71   0.000     .0040484    .0098311
-----------------------------------------------------------------------------------

.         margins conservative, at(factor1=(0(20)100)) predict(pr)

Predictive margins

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
1._at: factor1 =   0
2._at: factor1 =  20
3._at: factor1 =  40
4._at: factor1 =  60
5._at: factor1 =  80
6._at: factor1 = 100

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |     Margin   std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
   _at#conservative |
1#Non-Conservative  |    .301232   .0682499     4.41   0.000      .167271     .435193
    1#Conservative  |   .1064786    .046317     2.30   0.022     .0155674    .1973898
2#Non-Conservative  |   .3397817   .0505042     6.73   0.000     .2406519    .4389115
    2#Conservative  |   .1985903   .0544324     3.65   0.000     .0917503    .3054303
3#Non-Conservative  |   .3796036   .0326434    11.63   0.000     .3155311     .443676
    3#Conservative  |   .3302474   .0469742     7.03   0.000     .2380464    .4224485
4#Non-Conservative  |   .4204221   .0208562    20.16   0.000     .3794855    .4613587
    4#Conservative  |   .4847823   .0341554    14.19   0.000     .4177421    .5518226
5#Non-Conservative  |   .4619649   .0285473    16.18   0.000     .4059322    .5179976
    5#Conservative  |   .6382822   .0379482    16.82   0.000     .5637974    .7127669
6#Non-Conservative  |   .5039572   .0476794    10.57   0.000      .410372    .5975424
    6#Conservative  |   .7741105   .0481265    16.08   0.000     .6796476    .8685733
-------------------------------------------------------------------------------------

.         marginsplot, title("Border Wall") xtitle("Traditional Frames") ///
>         ylab(0(.20)1) ytitle("Pr(Support=1)") yline(.50, lpattern(dot))

Variables that uniquely identify margins: factor1 conservative

.         graph save wall3.gph, replace   
file wall3.gph saved

.         
.         grc1leg trump3.gph wall3.gph, ycommon col(2) ///
>         title("Marginal Effects of Experiences Frames") ///
>         subtitle("by Group ID w/95% CIs") ///
>         note("Source: 2018 CCES (UT Austin)", pos(6))   

.         
.                 
. **Figure 16: "Marginal Effect of Sports and Traditional Frames"
. 
. svy: logistic wall i.conservative##c.factor1 i.conservative##c.factor2 ///
> i.conservative##c.factor3 age education income female interest i.white ///
> pid religious
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
                                                  Design df       =        837
                                                  F(15, 823)      =      12.14
                                                  Prob > F        =     0.0000

----------------------------------------------------------------------------------------
                       |             Linearized
                  wall | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
-----------------------+----------------------------------------------------------------
          conservative |
         Conservative  |    .562273   .3446111    -0.94   0.348     .1688494    1.872385
               factor1 |   1.016561   .0091095     1.83   0.067     .9988373    1.034599
                       |
conservative#c.factor1 |
         Conservative  |   1.047957   .0202987     2.42   0.016     1.008862    1.088566
                       |
               factor2 |   .9670832    .006863    -4.72   0.000     .9537059    .9806481
                       |
conservative#c.factor2 |
         Conservative  |   1.012099    .014535     0.84   0.403     .9839683    1.041035
                       |
               factor3 |   1.007608   .0078942     0.97   0.334     .9922322    1.023223
                       |
conservative#c.factor3 |
         Conservative  |   .9541779   .0163044    -2.75   0.006     .9227062    .9867229
                       |
                   age |   1.040285   .0103728     3.96   0.000     1.020123    1.060845
             education |   .9151861   .1520786    -0.53   0.594     .6604781     1.26812
                income |   1.019748   .0473434     0.42   0.674     .9309301    1.117039
                female |   .4785934   .1284074    -2.75   0.006     .2826554    .8103566
              interest |   .8946801   .1529225    -0.65   0.515     .6396849    1.251323
                       |
                 white |
                White  |   .9212567   .3239664    -0.23   0.816     .4619725    1.837152
                   pid |   2.054269   .1660336     8.91   0.000     1.752914    2.407433
             religious |   2.465086   .6883743     3.23   0.001     1.424919    4.264558
                 _cons |   .0107694   .0073069    -6.68   0.000     .0028433    .0407903
----------------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo wall3

. 
.         margins conservative, dydx(factor3) predict(pr) 

Average marginal effects

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
dy/dx wrt:  factor3

-----------------------------------------------------------------------------------
                  |            Delta-method
                  |      dy/dx   std. err.      t    P>|t|     [95% conf. interval]
------------------+----------------------------------------------------------------
factor3           |
     conservative |
Non-Conservative  |   .0008993   .0009428     0.95   0.340    -.0009512    .0027498
    Conservative  |  -.0043136   .0015289    -2.82   0.005    -.0073146   -.0013126
-----------------------------------------------------------------------------------

.         margins conservative, at(factor3=(0(20)100)) predict(pr)

Predictive margins

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
1._at: factor3 =   0
2._at: factor3 =  20
3._at: factor3 =  40
4._at: factor3 =  60
5._at: factor3 =  80
6._at: factor3 = 100

-------------------------------------------------------------------------------------
                    |            Delta-method
                    |     Margin   std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
   _at#conservative |
1#Non-Conservative  |   .3746682   .0499838     7.50   0.000     .2765599    .4727766
    1#Conservative  |   .6868067   .0666278    10.31   0.000     .5560296    .8175839
2#Non-Conservative  |   .3924871   .0338398    11.60   0.000     .3260662    .4589079
    2#Conservative  |   .6077906    .048374    12.56   0.000      .512842    .7027391
3#Non-Conservative  |   .4104586   .0215592    19.04   0.000     .3681421    .4527751
    3#Conservative  |   .5265764   .0321643    16.37   0.000     .4634444    .5897085
4#Non-Conservative  |   .4285696   .0222925    19.22   0.000     .3848138    .4723254
    4#Conservative  |   .4459821   .0317321    14.05   0.000     .3836982    .5082659
5#Non-Conservative  |   .4468087   .0357049    12.51   0.000     .3767271    .5168903
    5#Conservative  |   .3682926   .0461421     7.98   0.000     .2777248    .4588605
6#Non-Conservative  |   .4651653   .0531596     8.75   0.000     .3608235    .5695071
    6#Conservative  |    .294806   .0630826     4.67   0.000     .1709873    .4186248
-------------------------------------------------------------------------------------

.         marginsplot, title("Border Wall") xtitle("Sports Frames") ///
>         ylab(0(.20)1) ytitle("Pr(Support=1)") yline(.50, lpattern(dot))

Variables that uniquely identify margins: factor3 conservative

.         graph save wall3a.gph, replace
file wall3a.gph saved

.         
. svy: logistic wall i.religious##c.factor1 i.religious##c.factor2 ///
> i.religious##c.factor3 age education income female interest i.white pid ///
> conservative
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
                                                  Design df       =        837
                                                  F(15, 823)      =      11.71
                                                  Prob > F        =     0.0000

-------------------------------------------------------------------------------------
                    |             Linearized
               wall | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
          religious |
         Religious  |   2.888775   2.083559     1.47   0.142     .7012724    11.89983
            factor1 |   1.051779   .0146866     3.62   0.000     1.023344    1.081004
                    |
religious#c.factor1 |
         Religious  |   .9694289   .0160876    -1.87   0.062     .9383608    1.001526
                    |
            factor2 |   .9611077   .0090613    -4.21   0.000     .9434856    .9790588
                    |
religious#c.factor2 |
         Religious  |   1.012101   .0121277     1.00   0.316      .988575    1.036188
                    |
            factor3 |   .9833036   .0111605    -1.48   0.138     .9616401    1.005455
                    |
religious#c.factor3 |
         Religious  |   1.021014    .014177     1.50   0.135     .9935631    1.049223
                    |
                age |   1.040183   .0102756     3.99   0.000     1.020208    1.060549
          education |    .884733   .1420983    -0.76   0.446     .6455077    1.212615
             income |   1.029805   .0489235     0.62   0.537     .9381192    1.130452
             female |   .4787252   .1291319    -2.73   0.006     .2819355    .8128732
           interest |   .9295905   .1550241    -0.44   0.662     .6700923    1.289581
                    |
              white |
             White  |   .8684303   .3045076    -0.40   0.688     .4363513    1.728358
                pid |   2.062088   .1697373     8.79   0.000     1.754448    2.423672
       conservative |    1.45509   .4593884     1.19   0.235     .7830092     2.70404
              _cons |   .0062831   .0051683    -6.16   0.000     .0012502    .0315763
-------------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

. eststo wall4

. 
.         margins religious, dydx(factor1) predict(pr)

Average marginal effects

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
dy/dx wrt:  factor1

--------------------------------------------------------------------------------
               |            Delta-method
               |      dy/dx   std. err.      t    P>|t|     [95% conf. interval]
---------------+----------------------------------------------------------------
factor1        |
     religious |
Non-Religious  |   .0051576   .0012343     4.18   0.000      .002735    .0075803
    Religious  |   .0023186   .0010374     2.24   0.026     .0002824    .0043548
--------------------------------------------------------------------------------

.         margins religious, at(factor1=(0(20)100)) predict(pr)

Predictive margins

Number of strata =   1                            Number of obs   =        838
Number of PSUs   = 838                            Population size = 817.613731
Model VCE: Linearized                             Design df       =        837

Expression: Pr(wall), predict(pr)
1._at: factor1 =   0
2._at: factor1 =  20
3._at: factor1 =  40
4._at: factor1 =  60
5._at: factor1 =  80
6._at: factor1 = 100

----------------------------------------------------------------------------------
                 |            Delta-method
                 |     Margin   std. err.      t    P>|t|     [95% conf. interval]
-----------------+----------------------------------------------------------------
   _at#religious |
1#Non-Religious  |   .1007497   .0465112     2.17   0.031     .0094574     .192042
    1#Religious  |   .3296528    .075625     4.36   0.000     .1812158    .4780897
2#Non-Religious  |   .1694472   .0482977     3.51   0.000     .0746483    .2642461
    2#Religious  |   .3764999   .0565652     6.66   0.000     .2654735    .4875262
3#Non-Religious  |   .2611571   .0392525     6.65   0.000     .1841123    .3382019
    3#Religious  |   .4247698   .0367782    11.55   0.000     .3525815     .496958
4#Non-Religious  |   .3715324   .0250886    14.81   0.000     .3222884    .4207764
    4#Religious  |   .4741173    .021083    22.49   0.000     .4327356     .515499
5#Non-Religious  |   .4911522   .0310722    15.81   0.000     .4301636    .5521407
    5#Religious  |   .5242288   .0250734    20.91   0.000     .4750146     .573443
6#Non-Religious  |   .6103346   .0519359    11.75   0.000     .5083946    .7122745
    6#Religious  |   .5747407   .0440345    13.05   0.000     .4883096    .6611717
----------------------------------------------------------------------------------

.         marginsplot, title("Border Wall") xtitle("Traditional Frames") ///
>         ylab(0(.20)1) ytitle("Pr(Support=1)") yline(.50, lpattern(dot))

Variables that uniquely identify margins: factor1 religious

.         graph save wall4a.gph, replace
file wall4a.gph saved

.         
.         graph combine wall3a.gph wall4a.gph, ycommon col(2) ///
>         title("Marginal Effects of Sports and Traditional Frames") ///
>         subtitle("by Group ID w/95% CIs") ///
>         note("Source: 2018 CCES (UT Austin)", pos(6))   

.         
.                 
. **Table 1: Predictors of US Frame Clusters, Linear Regression Estimates         
. 
. esttab a b c using regression.rtf, replace nogap ///
> onecell title("Predictors of US Frame Clusterings, Linear Regression Estimates") ///
> nonumbers mtitles("Traditional" "Experiences" "Sports") ///
> addnote("Source: 2008 CCES UT Austin Module") incelldelimiter( ) compress ///
> label nobaselevels star (+ .10 * .05 ** .01 *** .001) se(2) b(2) noeqlines      
(output written to regression.rtf)

. 
. **Table 2: Predictors of UK Frame Clusters (See Part 1 code)
. 
. 
. **Figure 17: "Cultural Frames: Mean scores by Group ID"
. 
. graph bar (mean) history armed country truck cowboys ///
> [pweight=teamweight], over(race) title(Cultural Frames) ///
> subtitle("Mean scores by Group ID") ysc(r(1) ///
> titleg(1)) ylab(0(25)100) blabel(bar, position(center) ///
> format(%4.0g) size(3) color(white)) bargap(-15) ///
> legend(label(1 "American history") label(2 "The armed forces") ///
> label(3 "The american countryside") label(4 "Pickup trucks") ///
> label(5 "Cowboys") size(2.5) rowgap(*.45) pos(6) rows(2) ///
> region(style(legend) fcolor(gs15) margin(medsmall))) ytitle(thermometer) ///
> note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save cultural2.gph, replace
file cultural2.gph saved

.                 
.                 
. **Figure 18: Experiences Frames: Mean scores by Group ID"
. 
. graph bar (mean) national diverse immigrant hoods [pweight=teamweight], ///
> over(race) title(Sport Frames) ///
> subtitle("Mean scores by Group ID") ysc(r(1) titleg(1)) ylab(0(25)100) ///
> blabel(bar, position(center) format(%4.0g) size(3) color(white)) ///
> bargap(-15) legend(label(1 "National Parks") ///
> label(2 "Diverse mix of groups") label(3 "Immigrants") ///
> label(4 "Alternative neighborhoods") size(2.5) rowgap(*.45) pos(6) ///
> rows(2) region(style(legend) fcolor(gs15) margin(medsmall))) ///
> ytitle(thermometer) note("Source: 2018 CCES (UT Austin)", pos(6))

. graph save experiences2.gph, replace    
file experiences2.gph saved

. 
.                 
. **Figure 19: "Sport Frames: Mean scores by Group ID"
. 
. graph bar (mean) baseball football basketball hockey ///
> [pweight=teamweight], over(race) title(Sport Frames) ///
> subtitle("Mean scores by Group ID") ysc(r(1) titleg(1)) ///
> ylab(0(25)100) blabel(bar, position(center) format(%4.0g) size(3) ///
> color(white)) bargap(-15) legend(label(1 "Baseball") label(2 "Football") ///
> label(3 "Basketball") label(4 "Hockey") size(2.5) rowgap(*.45) pos(6) ///
> rows(1) region(style(legend) fcolor(gs15) margin(medsmall)) colgap(*.75) ///
> symxsize(*.75) keygap(*.33)) ytitle(thermometer)

. graph save sports2.gph, replace 
file sports2.gph saved

.                 
.                 
. **Table 3: "Predictors of US Frame Clusters, Linear Regression Estimates"
. 
.         svy: logistic trump i.religious##c.factor1 i.religious##c.factor2 ///
>         i.religious##c.factor3 age education income female interest i.white pid ///
>         conservative
(running logistic on estimation sample)

Survey: Logistic regression

Number of strata =   1                            Number of obs   =        603
Number of PSUs   = 603                            Population size = 557.030681
                                                  Design df       =        602
                                                  F(15, 588)      =      12.18
                                                  Prob > F        =     0.0000

-------------------------------------------------------------------------------------
                    |             Linearized
              trump | Odds ratio   std. err.      t    P>|t|     [95% conf. interval]
--------------------+----------------------------------------------------------------
          religious |
         Religious  |   15.80652   26.85659     1.62   0.105     .5619023    444.6435
            factor1 |   1.023313   .0194834     1.21   0.227     .9857559    1.062301
                    |
religious#c.factor1 |
         Religious  |   .9950546   .0215872    -0.23   0.819     .9535496    1.038366
                    |
            factor2 |   .9866396   .0140237    -0.95   0.344     .9594791    1.014569
                    |
religious#c.factor2 |
         Religious  |   .9900241   .0177878    -0.56   0.577     .9556996    1.025581
                    |
            factor3 |   1.013284    .014299     0.94   0.350     .9855874    1.041759
                    |
religious#c.factor3 |
         Religious  |    .980912   .0183552    -1.03   0.303     .9455184     1.01763
                    |
                age |   .9991298   .0143424    -0.06   0.952     .9713559    1.027698
          education |   .5787647   .1137751    -2.78   0.006     .3933993    .8514724
             income |   1.134815   .0945339     1.52   0.129     .9635496    1.336521
             female |      .3651   .1562613    -2.35   0.019     .1575314     .846168
           interest |   .7660589   .2708956    -0.75   0.451      .382518    1.534166
                    |
              white |
             White  |   4.467854   2.448673     2.73   0.006     1.522809    13.10848
                pid |   3.345591   .4512287     8.95   0.000     2.567071    4.360215
       conservative |   3.500679   1.990104     2.20   0.028     1.146244    10.69122
              _cons |   .0018835   .0040812    -2.90   0.004     .0000267    .1327671
-------------------------------------------------------------------------------------
Note: _cons estimates baseline odds.

.         eststo trump4

. 
. esttab trump1 wall1 trump2 wall2 trump3 wall3 trump4 wall4 using ///
> regression.rtf, replace nogap onecell ///
> title("Predictors of US Frame Clusterings, Linear Regression Estimates") ///
> nonumbers mtitles("Trump Vote" "Wall Support" "Trump Vote" "Wall Support" ///
> "Trump Vote" "Wall Support" "Trump Vote" "Wall Support") ///
> addnote("Source: 2008 CCES UT Austin Module") incelldelimiter( ) compress ///
> label nobaselevels star (+ .10 * .05 ** .01 *** .001) se(2) b(2) noeqlines                      
(output written to regression.rtf)

.                                 
.                 
. 
end of do-file

. log close
      name:  <unnamed>
       log:  /Users/JTAFOYA1/My Drive/Research/Englishness_Americanness/CCES18_UTAustin_OUTPUTB.log
  log type:  text
 closed on:   2 Jun 2023, 23:24:05
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